Skip to content

You are here: Home / Doctoral programmes / Signal Theory and Communications

Signal Theory and Communications

The Signal Theory and Communications Department (TSC) has offered a doctoral programme focusing on scientific training in the following fields since 1987:

• Communications with physical and radio support
• The study of phenomena associated with the generation, propagation and radiation of electromagnetic signals at frequencies ranging from RF/microwave to optical wavelengths
• Basic techniques for signal processing and their applications in communications, voice, and image processing
• Telecommunication systems and networks

The programme is strongly associated with the research topics addressed by the Department. Research is carried out by groups that, while autonomous, do regularly collaborate with groups from other departments and universities.

The fields of research covered often involve participation and leadership from thematic networks and European projects with large numbers of national and international partners. These collaborations always involve, directly or indirectly, candidates in this doctoral programme, as the research that they conduct is integrated into these projects. The programme has repeatedly been given internationality and quality awards by both the Spanish and Catalan governments.

COORDINATOR

Muñoz Medina, Olga

CONTACT

Doctoral Unit - ICT North Campus Management and Support Unit (UTGCNTIC)

C. Jordi Girona, 1-3. Building B4-003 (North Campus)
Tel.: 934 017 233
E-mail: doctorat.tsc@upc.edu

https://tsc.phd.upc.edu/es?set_language=es

General information

Access profile

Ideal applicants are holders of master’s degrees in Information and Communication Technologies, and preferably Telecommunications Engineering. However, the multidisciplinary nature of some of the Department’s research groups makes it desirable to consider admitting candidates with other degrees in the fields of physics, computing, biology and computational linguistics.

In addition to this academic profile, certain characteristics are considered important for applicants to have, including interest in the research projects being carried out in the Department, having critical and analytical abilities, having initiative, being consistent and persistent in their work and being able to work in a team.

Degree classifications:

• Direct admission: European Master of Science in Research on Information and Communication Technologies (MERIT) and Master of Science in Communication and Network Engineering (COMNET). This last programme has not been submitted for verification, but it is expected to be verified very soon.
• Preferential admission: other postgraduate programmes in the field of ICT engineering: telecommunications engineering, telematic engineering, computer sciences and photonic technologies.
• Others: depending upon the presence of other multidisciplinary research groups in the Department, applicants with degrees from other programmes that do not coincide with the aforementioned profiles will also be considered: informatics, physical sciences, chemistry, mathematics, biology and computational linguistics.

An appropriate level of English is required for this programme.

Output profile

Doctoral candidates who complete a doctoral degree will have acquired the following competencies, which are needed to carry out quality research (Royal Decree 99/2011, of 28 January, which regulates official doctoral studies):

a) A systematic understanding of the field of study and a mastery of the research skills and methods related to the field.
b) An ability to conceive, design or create, put into practice and adopt a substantial process of research or creation.
c) An ability to contribute to pushing back the frontiers of knowledge through original research.
d) A capacity for critical analysis and an ability to assess and summarise new and complex ideas.
e) An ability to communicate with the academic and scientific community and with society in general as regards their fields of knowledge in the manner and languages that are typical of the international scientific community to which they belong.
f) An ability to foster scientific, technological, social, artistic and cultural progress in academic and professional contexts within a knowledge-based society.

The award of a doctoral degree must equip the graduate for work in a variety of settings, especially those requiring creativity and innovation. Doctoral graduates must have at least acquired the personal skills needed to:

a) Develop in contexts in which there is little specific information.
b) Find the key questions that must be answered to solve a complex problem.
c) Design, create, develop and undertake original, innovative projects in their field.
d) Work as part of a team and independently in an international or multidisciplinary context.
e) Integrate knowledge, deal with complexity and make judgements with limited information.
f) Offer criticism on and intellectually defend solutions.

Finally, with respect to competencies, doctoral students must:
a) have acquired advanced knowledge at the frontier of their discipline and demonstrated, in the context of internationally recognised scientific research, a deep, detailed and well-grounded understanding of theoretical and practical issues and scientific methodology in one or more research fields;
b) have made an original and significant contribution to scientific research in their field of expertise that has been recognised as such by the international scientific community;
c) have demonstrated that they are capable of designing a research project that serves as a framework for carrying out a critical analysis and assessment of imprecise situations, in which they are able to apply their contributions, expertise and working method to synthesise new and complex ideas that yield a deeper knowledge of the research context in which they work;
d) have developed sufficient autonomy to set up, manage and lead innovative research teams and projects and scientific collaborations (both national and international) within their subject area, in multidisciplinary contexts and, where appropriate, with a substantial element of knowledge transfer;
e) have demonstrated that they are able to carry out their research activity in a socially responsible manner and with scientific integrity;
f) have demonstrated, within their specific scientific context, that they are able to make cultural, social or technological advances and promote innovation in all areas within a knowledge-based society;
g) have demonstrated that they are able to participate in scientific discussions at the international level in their field of expertise and disseminate the results of their research activity to audiences of all kinds.

Number of places

30

Duration of studies and dedication regime

Duration
The maximum period of study for full-time doctoral studies is three years, counted from the date of admission to the programme to the date of submission of the doctoral thesis. The academic committee of the doctoral programme may authorise a doctoral candidate to pursue doctoral studies on a part-time basis. In this case, the maximum period of study is five years, counting from the date of admission to the programme to the date of submission of the doctoral thesis. For calculating these periods, the date of admission is considered to be the date of the first enrolment for tutorials, and the date of submission the moment in which the Doctoral School officially deposits the doctoral thesis.

For full-time doctoral candidates, the minimum period of study is two years, counted from the date of an applicant's admission to the programme until the date on which the doctoral thesis is deposited; for part-time doctoral candidates it is four years. When there are justified grounds for doing so, and the thesis supervisor and academic tutor have given their authorisation, doctoral candidates may request that the academic committee of their doctoral programme exempt them from the minimum period of study requirement.

The calculation of periods of study will not include periods of absence due to illness, pregnancy or any other reason provided for in the regulations in force. Students who find themselves in any of these circumstances must notify the academic committee of the doctoral programme, which, where appropriate, must inform the Doctoral School. Doctoral candidates may also temporarily withdraw from the programme for up to one year, and this period may be extended for an additional year. Doctoral candidates who wish to interrupt their studies must submit a justified request to the academic committee of the doctoral programme, which will decide whether or not to approve the request. Each programme will establish conditions for readmission to doctoral studies.

Extension
If full-time doctoral candidates have not applied to deposit their thesis by the end of the three-year period of study, the academic committee of the programme may authorise an extension of up to one year. In exceptional circumstances, a further one-year extension may be granted, subject to the conditions established by the corresponding doctoral programme. In the case of part-time doctoral candidates, an extension of two years may be authorised. In both cases, in exceptional circumstances a further one-year extension may be granted by the Doctoral School's Standing Committee, upon the submission of a reasoned application by the academic committee of the doctoral programme.

Dismissal from the doctoral programme
A doctoral candidate may be dismissed from a doctoral programme for the following reasons:

  • The doctoral candidate submitting a justified application to withdraw from the programme.
  • The maximum period of study and of extensions thereof ending.
  • The doctoral candidate not having enrolled every academic year (unless he or she has been authorised to temporarily withdraw).
  • The doctoral candidate failing two consecutive assessments.
  • The doctoral candidate having disciplinary proceedings filed against him or her that rule that he or she must be dismissed from the UPC.

Dismissal from the programme implies that doctoral candidates cannot continue studying at the UPC and the closing of their academic record. This notwithstanding, they may apply to the academic committee of the programme for readmission and the committee must reevaluate them in accordance with the criteria established in the regulations.

Organization

COORDINATOR:
ACADEMIC COMMISSION OF THE PROGRAM:
STRUCTURAL UNITS:
  • Department of Signal Theory and Communications (PROMOTORA)
SPECIFIC URL OF THE DOCTORAL PROGRAM:
https://tsc.phd.upc.edu/es?set_language=es

CONTACT:

Doctoral Unit - ICT North Campus Management and Support Unit (UTGCNTIC)

C. Jordi Girona, 1-3. Building B4-003 (North Campus)
Tel.: 934 017 233
E-mail: doctorat.tsc@upc.edu


Access, admission and registration

Access profile

Ideal applicants are holders of master’s degrees in Information and Communication Technologies, and preferably Telecommunications Engineering. However, the multidisciplinary nature of some of the Department’s research groups makes it desirable to consider admitting candidates with other degrees in the fields of physics, computing, biology and computational linguistics.

In addition to this academic profile, certain characteristics are considered important for applicants to have, including interest in the research projects being carried out in the Department, having critical and analytical abilities, having initiative, being consistent and persistent in their work and being able to work in a team.

Degree classifications:

• Direct admission: European Master of Science in Research on Information and Communication Technologies (MERIT) and Master of Science in Communication and Network Engineering (COMNET). This last programme has not been submitted for verification, but it is expected to be verified very soon.
• Preferential admission: other postgraduate programmes in the field of ICT engineering: telecommunications engineering, telematic engineering, computer sciences and photonic technologies.
• Others: depending upon the presence of other multidisciplinary research groups in the Department, applicants with degrees from other programmes that do not coincide with the aforementioned profiles will also be considered: informatics, physical sciences, chemistry, mathematics, biology and computational linguistics.

An appropriate level of English is required for this programme.

Access requirements

Applicants must hold a Spanish bachelor’s degree or equivalent and a Spanish master’s degree or equivalent, provided they have completed a minimum of 300 ECTS credits on the two degrees (Royal Decree 43/2015, of 2 February)

In addition, the following may apply:

  • Holders of an official degree awarded by a university in Spain or any other country in the European Higher Education Area, pursuant to the provisions of Article 16 of Royal Decree 1393/2007, of 29 October, which establishes official university course regulations, who have completed a minimum of 300 ECTS credits on official university degrees, of which at least 60 must be at the master's degree level.
  • Holders of an official Spanish bachelor’s degree comprising at least 300 credits, as provided for by EU regulations. Holder of degrees of this kind must complete bridging courses unless the curriculum of the bachelor’s degree in question included research training credits equivalent in value to those which would be earned on a master's degree.
  • Holders of an official university qualification who, having passed the entrance examination for specialised medical training, have completed at least two years of a training course leading to an official degree in a health-sciences specialisation.
  • Holders of a degree issued under a foreign education system. In these cases, homologation is not required, but the UPC must verify that the degree certifies a level of training equivalent to an official Spanish master's degree and qualifies the holder for admission to doctoral studies in the country where it was issued. Admission on this basis does not imply homologation of the foreign degree or its recognition for any purpose other than admission to doctoral studies.
  • Holders of a Spanish doctoral qualification issued under previous university regulations.
  • Note 1: Doctoral studies entrance regulations for holders of an undergraduate degree awarded before the introduction of the EHEA (CG 47/02 2014)

    Note 2: Governing Council Decision 64/2014, which approves the procedure and criteria for assessing the fulfilment of academic admission requirements for doctoral studies by holders of non-homologated foreign degrees (CG 25/03 2014)

Admission criteria and merits assessment

In cases in which applicants have graduated from degree programmes other than those granting direct admission (MET, MATT and MASTEAM), the TSC Department’s Postgraduate Committee will assess the documentation submitted as per the following framework:
• Academic transcript: 35%.

• Appropriateness of academic background with the activities carried out in the proposed research group: 25%.
• Knowledge of the English language: 20%.
• Quality of university from which previous degree was awarded: 10%.
• Motivation letter/letters of recommendation: 10%.

An assessment will be considered positive is an applicant is given a score of 3 or more out of 5.

Based on the content of the motivation letter and the applicant’s preparedness, the Postgraduate Committee will assign a thesis supervisor.

If candidates do not have a degree in some kind of ICT engineering, they will have to take the bridging courses recommended by their supervisors and the programme, whether courses from the associated master’s programmes (MET, MATT) or other ones.

Training complements

The Postgraduate Committee of the Signal Theory and Communications Department may require candidates to complete specific bridging courses. In this case, the Committee will monitor the bridging courses and set up appropriate criteria to limit their length.

The courses shall involve training in research, but in no case will candidates be required to enrol in 60 or more ECTS credits (according to the academic regulations for doctoral studies, bridging courses could include transversal education, but there are plans to change to this so that these bridging courses exclusively provide research credits, especially in cases involving doctoral programmes with 300 ECTS credits).

Depending on the activities completed by the candidates, the Postgraduate Committee of the Signal Theory and Communications Department may propose measures, in addition to those established by current regulations, that would disassociate candidates who do not meet the established requisites.

The Postgraduate Committee may require candidates who are to be admitted to complete certain bridging courses in order to better adapt their profiles to the programme’s requirements regarding the knowledge necessary to properly complete the doctoral studies.

No bridging courses will be required for those who graduated from the MET, MASTEAM or MATT programmes, or any of the other previously mentioned ICT programmes.

For those who completed other programmes, the bridging coursework required will depend upon their backgrounds and the activities carried out by the research groups in which they will participate, and it could be up to 30 ECTS.

The courses to be taken are offered by the MET, MASTEAM or MATT programmes.

Also, depending on the characteristics of some of the Department’s research groups, courses from the following UPC programmes will also be considered:
• Master’s programme in Telecommunications Engineering
• Master’s programme in Electrical Engineering
• Master’s programme in Photonics
• Master’s programme in Innovation and Research in Informatics
• Master’s programme in Artificial Intelligence

After consulting with candidates’ supervisors, it will be the sole responsibility of the TSC Department’s Postgraduate Committee to determine which courses students will have to take to complete these bridging courses. In any case, the aim of the courses will always be to fill in the gaps that students are seen to have in their academic transcripts with regard to the activities carried out by the research group in which they will participate.

Enrolment period for new doctoral students

Students enrolling in the doctoral programme for the first time must do so by the deadline specified in the admission decision.
Unless otherwise expressly indicated, enrolments corresponding to admission decisions issued from the second half of April on must be completed within the ordinary enrolment period for the current academic year.

More information at the registration section for new doctoral students

Enrolment period

Ordinary period for second and successive enrolments: first half of October.

More information at the general registration section

Monitoring and evaluation of the doctoral student

Procedure for the preparation and defense of the research plan

Doctoral candidates must submit a research plan, which will be included in their doctoral student activity report, before the end of the first year. The plan may be improved over the course of the doctoral degree. It must be endorsed by the tutor and the supervisor, and it must include the method that is to be followed and the aims of the research.

At least one of these annual assessments will include a public presentation and defence of the research plan and work done before a committee composed of three doctoral degree holders, which will be conducted in the manner determined by each academic committee. The examination committee awards a Pass or Fail mark. A Pass mark is a prerequisite for continuing on the doctoral programme. Doctoral candidates awarded a Fail mark must submit a new research plan for assessment by the academic committee of the doctoral programme within six months.

The committee assesses the research plan every year, in addition to all of the other activities in the doctoral student activity report. Doctoral candidates who are awarded two consecutive Fail marks for the research plan will be obliged to definitely withdraw from the programme.

If they change the subject of their thesis, they must submit a new research plan.

Formation activities

Activity: Tutorial.
- Hours: 288.
- Type: compulsory.

Activity: Mobility.
- Hours: 480.
- Type: optional.

Activity: Assessment based on doctoral student activity report (DAD) and research plan.
- Hours: 4.
- Type: compulsory.

Activity: Training in information skills.
- Hours: 1,5.
- Type: compulsory.

Activity: Research methodology.
- Hours: 12.
- Type: compulsory.

Activity: Innovation and creativity.
- Hours: 8.
- Type: optional.

Activity: Language and communication skills.
- Hours: 18.
- Type: optional.

Activity: Courses and seminars.
- Hours: 50.
- Type: optional.

Activity: Workshops.
- Hours: 8.
- Type: optional.

Procedure for assignment of tutor and thesis director

The academic committee of the doctoral programme assigns a thesis supervisor to each doctoral candidate when they are admitted or enrol for the first time, taking account of the thesis supervision commitment referred to in the admission decision.

The thesis supervisor will ensure that training activities carried out by the doctoral candidate are coherent and suitable, and that the topic of the candidate’s doctoral thesis will have an impact and make a novel contribution to knowledge in the relevant field. The thesis supervisor will also guide the doctoral candidate in planning the thesis and, if necessary, tailoring it to any other projects or activities undertaken. The thesis supervisor will generally be a UPC professor or researcher who holds a doctoral degree and has documented research experience. This includes PhD-holding staff at associated schools (as determined by the Governing Council) and UPC-affiliated research institutes (in accordance with corresponding collaboration and affiliation agreements). When thesis supervisors are UPC staff members, they also act as the doctoral candidate’s tutor.

PhD holders who do not meet these criteria (as a result of their contractual relationship or the nature of the institution to which they are attached) must be approved by the UPC Doctoral School's Standing Committee in order to participate in a doctoral programme as researchers with documented research experience.

The academic committee of the doctoral programme may approve the appointment of a PhD-holding expert who is not a UPC staff member as a candidate’s thesis supervisor. In such cases, the prior authorisation of the UPC Doctoral School's Standing Committee is required. A UPC staff member who holds a doctoral degree and has documented research experience must also be proposed to act as a co-supervisor, or as the doctoral candidate’s tutor if one has not been assigned.

A thesis supervisor may step down from this role if there are justified reasons (recognised as valid by the committee) for doing so. If this occurs, the academic committee of the doctoral programme will assign the doctoral candidate a new thesis supervisor.

Provided there are justified reasons for doing so, and after hearing any relevant input from the doctoral candidate, the academic committee of the doctoral programme may assign a new thesis supervisor at any time during the period of doctoral study.

If there are academic reasons for doing so (an interdisciplinary topic, joint or international programmes, etc.) and the academic committee of the programme gives its approval, an additional thesis supervisor may be assigned. Supervisors and co-supervisors have the same responsibilities and academic recognition.

The maximum number of supervisors of a doctoral thesis is two: a supervisor and a co-supervisor.

For theses carried out under a cotutelle agreement or as part of an Industrial Doctorate, if necessary and if the agreement foresees it this maximum number of supervisors may not apply. This notwithstanding, the maximum number of supervisors belonging to the UPC is two.

More information at the PhD theses section

Permanence

The academic committee of the programme may authorise an extension of up to one year for full-time doctoral candidates who have not applied to deposit their thesis by the end of the three-year period of study, in the terms outlined in the Academic Regulations for Doctoral Studies of the Universitat Politècnica de Catalunya. In the case of part-time candidates, an extension of two years may be authorised. In both cases, in exceptional circumstances a further one-year extension may be granted by the Doctoral School's Standing Committee, upon the submission of a reasoned application by the academic committee of the doctoral programme.

A doctoral candidate may be dismissed from a doctoral programme for the following reasons:

  • The doctoral candidate submitting a justified application to withdraw from the programme.
  • The maximum period of study and of extensions thereof ending.
  • The doctoral candidate not having enrolled every academic year (unless he or she has been authorised to temporarily withdraw).
  • The doctoral candidate failing two consecutive assessments.
  • The doctoral candidate having disciplinary proceedings filed against him or her that rule that he or she must be dismissed from the UPC.

Dismissal from the programme implies that doctoral candidates cannot continue studying at the UPC and the closing of their academic record. This notwithstanding, they may apply to the academic committee of the programme for readmission and the committee must reevaluate them in accordance with the criteria established in the regulations.

International Mention

The doctoral degree certificate may include International Doctorate mention. In this case, the doctoral candidate must meet the following requirements:

a) During the period of study leading to the award of the doctoral degree, the doctoral candidate must have spent at least three months at a respected higher education institution or research centre outside Spain to complete courses or do research work. The stays and activities carried out must be endorsed by the thesis supervisor and authorised by the academic committee of the programme. The candidate must provide a certifying document issued by the person responsible for the research group of the body or bodies where the stay or activity was completed. This information will be added to the doctoral student’s activity report.
b) Part of the thesis (at least the summary and conclusions) must be written and presented in one of the languages commonly used for science communication in the relevant field of knowledge, which must not be an official language of Spain. This rule does not apply to stays and reports in Spanish or to experts from Spanish-speaking countries.
c) At least two PhD-holding experts belonging to a higher education institution or research centre outside Spain must have issued officially certified reports on the thesis.
d) The thesis examination committee must have included at least one PhD-holding expert from a higher education or research institution outside Spain who was not responsible for the candidate’s stay abroad (point a) above).
e) The thesis defence must have taken place on UPC premises or, in the case of joint programmes, at the location specified in the collaboration agreement.

Learning resources

The Signal Theory and Communications Department offers the following research laboratories that are available to doctoral candidates:
• Microwave and RF Laboratory
• Antenna and Radar Laboratory
• Radiometry Laboratory
• Integrated Optics Laboratory
• Antenna Measurement Laboratory (3 anechoic chambers)
• Optical Communications Laboratory
• Radio Communications Laboratory
• Voice Processing Laboratory
• Recording Room
• Audio-visual Production Laboratory
• Raman Spectroscopy Laboratory
• Multimedia Laboratory
• Surveillance, Monitoring and Communications Laboratory
• New Materials and Technologies for Communications Laboratory
• Wireless Communications and Technologies Laboratory
• Audio-visual Systems Laboratory

Doctoral Theses

List of authorized thesis for defense

  • PINHEIRO PEREIRA, ROBERTO MATHEUS: Clustering Large Dimensional Data via Second Order Statistics: Applications in Wireless Communications
    Author: PINHEIRO PEREIRA, ROBERTO MATHEUS
    Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
    Programme: DOCTORAL DEGREE IN SIGNAL THEORY AND COMMUNICATIONS
    Department: Department of Signal Theory and Communications (TSC)
    Mode: Normal
    Deposit date: 13/11/2023
    Reading date: 19/12/2023
    Reading time: 11:00
    Reading place: CTTC, parc Mediterrani de la Tecnologia ¿ Edifici B4 Auditorium-08860 ¿ Castelldefels Barcelona, Sala de la defensa: Auditori Edifici B6
    Thesis director: MESTRE PONS, FRANCESC XAVIER | GREGORATTI, DAVID
    Committee:
         PRESIDENT: OVARLEZ, JEAN-PHILIPPE
         SECRETARI: DINI, PAOLO
         VOCAL: BRELOY, ARNAUD
    Thesis abstract: In many modern signal processing applications, traditional machine learning and pattern recognition methods heavily rely on the having a sufficiently large amount of data samples to correctly estimate the underlying structures within complex signals. The main idea is to understand the inherent structural information and relationships embedded within the raw data, thereby enabling a wide variety of inference tasks. Nevertheless, the definition of what constitutes a sufficiently large dataset remains subjective and it is often problem-dependent. In this context, traditional learning approaches often fail to learn meaningful structures in the cases where the number of features closely matches (or even exceeds) the number of observations. These scenarios emphasize the need for tailored strategies that effectively extract meaningful structured information from these high-dimensional settings. In this thesis we address fundamental challenges posed by applying traditional machine learning techniques in large dimensional settings.Particularly, this thesis explores the comparison and clustering of symmetric positive definite matrices, such as covariance matrices, seen as objects in a Riemannian manifold. Initially, we investigate the asymptotic behavior of distances between sample covariance matrices by establishing a central limit theorem (CLT) that allows us to describe the asymptotic statistical law of these distances. We provide a general result for the class of distances that can be expressed as sums of traces of functions applied separately to each covariance matrix. This class includes conventional metrics like the Euclidean distance and Jeffreys' divergence, as well as more advanced distances found in Riemannian geometry, such as the log-Euclidean metric. Subsequently, we extend these findings to address the challenge of consistently estimating the distance between covariance matrices directly from the data. We complement this with a new statistical analysis of the asymptotic behavior of this category of distance estimators. Finally, we showcase the practical implications of these results by demonstrating how unsupervised learning algorithms can leverage them, with specific applications in wireless communications. In doing so, this thesis contributes with theoretical insights into unsupervised learning mechanisms, with a practical orientation toward wireless communication systems. The overarching aim is to facilitate the integration and interpretability of unsupervised learning solutions in forthcoming wireless networks and broader signal processing challenges.

Last update: 11/12/2023 05:45:35.

List of lodged theses

No hi ha registres per mostrar.

Last update: 11/12/2023 05:30:23.

List of defended theses by year

  • ALEMANY PRATS, POL: Quality of service, security and trustworthiness for network slices
    Author: ALEMANY PRATS, POL
    Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
    Programme: DOCTORAL DEGREE IN SIGNAL THEORY AND COMMUNICATIONS
    Department: Department of Signal Theory and Communications (TSC)
    Mode: Normal
    Reading date: 23/03/2023
    Thesis director: VILALTA CAÑELLAS, RICARD | MUÑOZ GONZALEZ, RAUL

    Committee:
         PRESIDENT: MOZO VELASCO, ALBERTO
         SECRETARI: SPADARO, SALVATORE
         VOCAL: NATALINO, CARLOS
    Thesis abstract: The telecommunications' systems are becoming much more intelligent and dynamic due to the expansion of the multiple network types (i.e., wired, wireless, Internet of Things (IoT) and cloud-based networks). Due to this network variety, the old model of designing a specific network for a single purpose and so, the coexistence of different and multiple control systems is evolving towards a new model in which the use of a more unified control system is able to offer a wide range of services for multiple purposes with different requirements and characteristics. To achieve this situation, the networks have become moredigital and virtual thanks to the creation of the Software-Defined Networking (SDN) and the Network Function Virtualization (NFV).Network Slicing takes the strengths from these two technologies and allows the network control systems to improve their performance as the services may be deployed and their interconnection configured through multiple-transport domainsby using NFV/SDN tools such as NFV-Orchestrators (NFV-O) and SDN Controllers. This thesis has the main objective to contribute to the state of the art of Network Slicing, with a special focus on security aspects towards the architectures and processes to deploy, monitor and enforce secured and trusted resources to compose network slices. Finally, this document is structured in eight chapters:Chapter 1 provides the motivation and objectives of this thesis which describes to where this thesis contributes and what it was expected to study, evaluate and research. Chapter 2 presents the background necessary to understand the followingchapters. This chapter presents a state of the art with three clear sections: 1) the key technologies necessary to create network slices, 2) an overview about the relationship between Service Level Agreements (SLAs) and network slices with aspecific view on Security Service Level Agreements (SSLAs), and, 3) the literature related about distributed architectures and systems and the use of abstraction models to generate trust, security, and avoid management centralization. Chapter 3introduces the research done associated to Network Slicing. First with the creation of network slices using resources placed multiple computing and transport domains. Then, this chapter illustrates how the use of multiple virtualization technologies allows to have more efficient network slices deployments and where each technology fits better to accomplish the performance improvements. Chapter 4 presents the research done about the management of network slices and the definition of SLAs and SSLAs to define the service and security requirements to accomplish the expected QoS and the right security level. Chapter 5 studies the possibility to change at certain level the trend to centralise the control and management architectures towards a distributed design. Chapter 6 follows focuses on the generation of trust among service resourcesproviders. This chapter first describes how the concept of trust is mapped into an analytical system and then, how the trust management among providers and clients is done in a transparent and fair way. Chapter 7 is devoted to the dissemination results and presents the set of scientific publications produced in the format of journals, international conferences or collaborations. Chapter 8 concludes the work and outcomes previously presented and presents possible future research.

  • ARAUJO DA SILVA, MARCOS PAULO: Remote sensing for atmospheric observation and wind energy: over-land boundary layer and off-shore atmospheric stability
    Author: ARAUJO DA SILVA, MARCOS PAULO
    Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
    Programme: DOCTORAL DEGREE IN SIGNAL THEORY AND COMMUNICATIONS
    Department: Department of Signal Theory and Communications (TSC)
    Mode: Normal
    Reading date: 29/06/2023
    Thesis director: ROCADENBOSCH BURILLO, FRANCISCO

    Committee:
         PRESIDENT: BAY HASAGER, CHARLOTTE
         SECRETARI: BALDASANO RECIO, JOSE M.
         VOCAL: O\'CONNOR, EWAN JAMES
    Thesis abstract: Monitoring the atmospheric boundary layer (ABL) is a matter of interest for many applications, such as weather forecasting, pollutant-dispersion models and wind energy. The ABL is the most turbulent part of the troposphere, and it is directly affected by the earth's surface characteristics. Thus, monitoring the ABL is a complex task that requires continuous improvement of the remote sensing techniques. This PhD thesis tackles remote sensing as the key technology to assess different ABL parameters in both over-land and over-sea dimensions. The over-land dimension is oriented to the study of the ABL height (ABLH), whereas the over-sea dimension is focused in assessment of surface-layer atmospheric stability from solely wind profiles in the context of wind energy. In the over-land dimension, a synergistic ABLH estimation me\-thod via a combination of microwave-radiometer and lidar-ceilometer-based estimates is presented. The synergistic method uses these two instruments in a cooperative way with the aim of providing an enhanced high-resolution ABLH estimation. Data gathered by multiple remote-sensing instruments during the HOPE campaign at Jülich, Germany, are used to outline the robustness of the synergistic method in relation to estimates which rely on a single instrument. In the over-sea dimension, the 2D parametric-solver algorithm is presented as an alternative method to assess surface-layer parameters from solely floating Doppler wind lidar measurements. Comparative results with reference retrievals from the IJmuiden meteorological mast show that the 2D accurately estimates the friction velocity, and it correctly determines atmospheric stability via its Obukhov length estimation. Accordingly, the 2D algorithm corroborates to stand the floating Doppler wind lidar as the wind-energy-industry preferred solution to replace the off-shore metmast.

  • BLASCO COLL, ANDREU: Quasi-perfect codes for the classical-quantum channel
    Author: BLASCO COLL, ANDREU
    Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
    Programme: DOCTORAL DEGREE IN SIGNAL THEORY AND COMMUNICATIONS
    Department: Department of Signal Theory and Communications (TSC)
    Mode: Normal
    Reading date: 27/09/2023
    Thesis director: RODRIGUEZ FONOLLOSA, JAVIER

    Committee:
         PRESIDENT: CRESPO BOFILL, PEDRO
         SECRETARI: COCCO, GIUSEPPE
         VOCAL: SENTÍS HERRERA, GAEL
    Thesis abstract: Quantum computers use the laws of quantum mechanics to do complex operations that classical computers can't solve. Quantum computers and other physical quantum systems require quantum information to be completely isolated from the environment in order to be perfectly functional. Quantum systems that are not completely isolated suffer from decoherence noise and may suffer from errors. Implementing these systems is a huge challenge and development of suboptimal systems with a low error rate seems to be the best way forward to building these systems.In quantum communications, designing codes that are able to reduce or protect against errors is a necessity. This work focuses on perfect and quasi-perfect quantum codes, which are a family of codes that exists in the classical setting and are optimum in terms of minimizing the error probability for a given number of channel uses. In the first part of the work we generalize the definition of quasi-perfect codes to include both classical codes and quantum codes. We also provide an example of a quantum quasi-perfect code for 2-qubits classical-quantum channels that make use of quantum entanglement and that can be extrapolated to an N-dimensional classical-quantum channel. The second part of this work focuses on quasi-perfect codes in optical communications, where coherent states are used to convey information through an optical channel, known as the Bosonic channel. The Bosonic channel has infinite dimension, so instead we consider a finite-dimensional approximation of the Bosonic channel with a negligible approximation error for a sufficiently large channel dimension. We show that phase-modulated coherent states constitute a codebook that is quasi-perfect for the approximated channel, and thus are close to optimal for the Bosonic channel.The last part of the work focuses on stabilizer error correction codes, which are practical codes that use redundancy to protect against errors. Error correction is not specifically used to transmit classical information, but to protect quantum information instead. However, it is possible that we require to obtain classical information from a quantum state after performing error correction. For these particular cases we may be able to prove that an error correction code is quasi-perfect and thus optimum.

  • BORRÀS PINO, JORDI: Opportunistic communications in large uncoordinated networks
    Author: BORRÀS PINO, JORDI
    Thesis link: http://hdl.handle.net/10803/689262
    Programme: DOCTORAL DEGREE IN SIGNAL THEORY AND COMMUNICATIONS
    Department: Department of Signal Theory and Communications (TSC)
    Mode: Normal
    Reading date: 25/01/2023
    Thesis director: VAZQUEZ GRAU, GREGORIO

    Committee:
         PRESIDENT: SANTAMARÍA CABALLERO, IGNACIO
         SECRETARI: PASCUAL ISERTE, ANTONIO
         VOCAL: LOPEZ SALCEDO, JOSE ANTONIO
    Thesis abstract: The increase of wireless devices offering high data rate services limits the coexistence of wireless systems sharing the same resources in a given geographical area because of inter-system interference. Therefore, interference management plays a key role in permitting the coexistence of several heterogeneous communication services. However, classical interference management strategies require lateral information giving rise to the need for inter-system coordination and cooperation, which is not always practical.Opportunistic communications offer a potential solution to the problem of inter-system interference management. The basic principle of opportunistic communications is to efficiently and robustly exploit the resources available in a wireless network and adapt the transmitted signals to the state of the network to avoid inter-system interference. Therefore, opportunistic communications depend on inferring the available network resources that can be safely exploited without inducing interference in coexisting communication nodes. Once the available network resources are identified, the most prominent opportunistic communication techniques consist in designing scenario-adapted precoding/decoding strategies to exploit the so-called null space. Despite this, classical solutions in the literature suffer from two main drawbacks: the lack of robustness to detection errors and the need for intra-system cooperation.This thesis focuses on the design of a null space-based opportunistic communication scheme that addresses the drawbacks exhibited by existing methodologies under the assumption that opportunistic nodes do not cooperate. For this purpose, a generalized detection error model independent of the null-space identification mechanism is introduced that allows the design of solutions that exhibit minimal inter-system interference in the worst case. These solutions respond to a maximum signal-to-interference ratio (SIR) criterion, which is optimal under non-cooperative conditions. The proposed methodology allows the design of a family of orthonormal waveforms that perform a spreading of the modulated symbols within the detected null space, which is key to minimizing the induced interference density. The proposed solutions are invariant within the inferred null space, allowing the removal of the feedback link without giving up coherent waveform detection.In the absence of coordination, the waveform design relies solely on locally sensed network state information, inducing a mismatch between the null spaces identified by the transmitter and receiver that may worsen system performance. Although the proposed solution is robust to this mismatch, the design of enhanced receivers using active subspace detection schemes is also studied.When the total number of network resources increases arbitrarily, the proposed solutions tend to be linear combinations of complex exponentials, providing an interpretation in the frequency domain. This asymptotic behavior allows us to adapt the proposed solution to frequency-selective channels by means of a cyclic prefix and to study an efficient modulation similar to the time division multiplexing scheme but using circulant waveforms.Finally, the impact of the use of multiple antennas in opportunistic null space-based communications is studied. The performed analysis reveals that, in any case, the structure of the antenna clusters affects the opportunistic communication, since the proposed waveform mimics the behavior of a single-antenna transmitter. On the other hand, the number of sensors employed translates into an improvement in terms of SIR.

  • DALGKITSIS, ANESTIS: Zero-touch service orchestration in 5G and beyond mobile networks
    Author: DALGKITSIS, ANESTIS
    Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
    Programme: DOCTORAL DEGREE IN SIGNAL THEORY AND COMMUNICATIONS
    Department: Department of Signal Theory and Communications (TSC)
    Mode: Normal
    Reading date: 07/11/2023
    Thesis director: VERIKOUKIS, CHRISTOS | RAMANTAS, KONSTANTINOS

    Committee:
         PRESIDENT: GRANELLI, FABRIZIO
         SECRETARI: ADELANTADO FREIXER, FERRAN
         VOCAL: RODRÍGUEZ GONZÁLEZ, JONATHAN
    Thesis abstract: The expeditious growth and development of Beyond-5G and 6G networks inaugurated a new sector in the research of cellular networking. Automation and scaling are now considered a necessity to cope with the anticipated demand of the new high-performing communication networks. The current networks expand at a rate that creates an urgent pressure for Infrastructure Providers to adopt intelligent, AI-based technologies for automated network management and orchestration. This Ph.D. Thesis is dedicated to the development of an intelligent, automated and scalable service management and orchestration framework, that does not require human intervention to operate. Several experiments were conducted to modeland validate the use of the RL-based zero-touch management and orchestration algorithms under different conditions and settings. This Ph.D Thesis is divided into three main parts.The first part is dedicated to the new paradigm that modern beyond 5G and 6G telecommunications brought to society. Speed, reliability, and scale are now at the epicenter of the industry. The enabling technologies that allow reaching the promisedKey Performance Indicators are discussed. Slicing, the main focus of Beyond-5G networks is introduced and analyzed from both technical and business standpoints.The second part of this dissertation is devoted to the automated management and orchestration of computing and network resources in 5G and beyond networks. A dynamic, resource-aware Virtual Network Functions placement AI-based algorithm is proposed and explained in detail. Later, an end-to-end data-driven service orchestration framework is proposed and discussed. A special vehicular Ultra-Reliable Low Latency Communications (URLLC) scenario is further explored to evaluate and demonstrate the performance of the proposed algorithms. The main focus of this part is the End-to-End average latency reduction for such services.Finally, in the third part is focused on the developed SCHEMA framework. A multi-domain, slice and service chain elastic management and orchestration framework.Three main variations of the proposed algorithm are explored, specificallyon latency and energy reduction and most importantly on safe automated decision making with distributed reinforcement learning.

  • DE CABRERA ESTANYOL, FERRAN: Data-driven information-theoretic tools under a second-order statistics perspective
    Author: DE CABRERA ESTANYOL, FERRAN
    Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
    Programme: DOCTORAL DEGREE IN SIGNAL THEORY AND COMMUNICATIONS
    Department: Department of Signal Theory and Communications (TSC)
    Mode: Normal
    Reading date: 03/07/2023
    Thesis director: RIBA SAGARRA, JAUME

    Committee:
         PRESIDENT: RAMIREZ GARCÍA, DAVID
         SECRETARI: FONT SEGURA, JOSEP
         VOCAL: LAMARCA OROZCO, M. MERITXELL
    Thesis abstract: A great deal is known about second-order statistics. For many years, most of the signal processing problems have been addressed under the perspective of the first and second-order moments of the data, known to be optimal under normal conditions. Nevertheless, nowadays data grow in complexity, rendering the second-order approach insufficient. To cope with this, descriptors of data that come from the field of information theory have been utilized in recent years as a substitute for classical second-order methods. Divergence, entropy, and information are the basis of the information-theoretic methods, endowed with the capability of discovering the intricacies of the underlying distributions. However, due to its nonlinear nature and the difficulty of estimating a density function, the estimation and utilization of these measures have also proven to be a difficult task. Meanwhile, the field of machine learning has also advanced toward the analysis of data in a nonlinear fashion. Kernel methods are a primer example of this, procuring an apparently simple way of dealing with nonlinearities, called the kernel ¿trick¿, but concealing a mathematically rigorous background that strengthens the method. In essence, a kernel performs linear operations in a possibly infinite-dimensional feature space without the requirement of explicitly operating in such space. Thanks to this, kernels have the potential to define nonparametric methods that may be unfeasible otherwise. This approach has been used to deal with the aforementioned information-theoretical measures, whose nonlinearity is easily manageable in the feature space. However, its strengths also become its disadvantages. To operate in an unvisited feature space is to lack interpretability. To operate in a high-dimensional feature space is an ingredient for sparsity, requiring regularization. Furthermore, their blind approach often comes at the cost of an increased computational complexity.This dissertation deals with the analysis of complex phenomena embedded in large amounts of data by leveraging well-known second-order statistics tools. This task is performed from two different points of view. In the first part, and following a similar rationale to kernel methods, this thesis develops a framework that is capable of dealing with nonlinearities in a linear fashion. To do so, the data is mapped into a feature space of higher dimensionality than the data space. However, this feature space is neither infinite-dimensional nor unknown, gaining not only in interpretability but also scalability for its use on large data sets. In this space, correlation and covariance are measured with the purpose of estimating measures of information, which constitutes the primary motivation of the mapping. While regularization is still needed in the proposed approach, a consequence of increasing the intrinsic dimensionality of the problem, the deterministic feature space allows the characterization of an appropriate regularization, which ends up exhibiting a strong duality with classical spectral estimation techniques.The second part of the dissertation focuses on the applications of information measures in problems that are typically solved through second-order statistics. Specifically, entropy is an uncertainty measure that provides better granularity of the underlying distribution than the variance. Entropy not only retains the information of first and second-order statistics but also those of higher-order. The resulting methods gain in robustness thanks to this generalization of moments, and at the same time, the information provided by the variance is still discerned. A specific entropy estimator that derives into kernel methods is used for this task thanks to its relationship with U-statistics, which have the advantage of an asymptotic tendency to the sample variance. Consequently, the framework is again rotated, providing a unified rationale of information and second-order statistics.

  • FERNÁNDEZ CAÑELLAS, DÉLIA: Knowledge graph population from news streams
    Author: FERNÁNDEZ CAÑELLAS, DÉLIA
    Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
    Programme: DOCTORAL DEGREE IN SIGNAL THEORY AND COMMUNICATIONS
    Department: Department of Signal Theory and Communications (TSC)
    Mode: Normal
    Reading date: 09/10/2023
    Thesis director: GIRÓ NIETO, XAVIER | BOU BALUST, ELISENDA

    Committee:
         PRESIDENT: RIGAU CLARAMUNT, GERMAN
         SECRETARI: RODRÍGUEZ HONTORIA, HORACIO
         VOCAL: LANGMEAD, GREGORY
    Thesis abstract: Media producers publish large amounts of multimedia content online - both text, audio, image and video. As the online media market grows, the management and delivery of contents becomes a challenge.Semantic and linking technologies can be used to organize and exploit these contents through the use of knowledge graphs.This industrial doctorate dissertation addresses the problem of constructing knowledge resources and integrating them into a system used by media producers to manage and explore their contents. For that purpose, knowledge graphs and their maintenance through Information Extraction (IE) from news streams is studied. This thesis presents solutions for multimedia understanding and knowledge extraction from online news, and their exploitation in real product applications, and it is structured in three parts.The first part consists on the construction of IE tools that will be used for knowledge graph population. For that, we built an holistic Entity Linking (EL) system capable of combining multimodal data inputs to extract a set of semantic entities that describe news content. The EL system is followed by a Relation Extraction (RE) model that predicts relations between pairs of entities with a novel method based on entity-type knowledge. The final system is capable of extracting triples describing the contents of a news article.The second part focuses on the automatic construction of a news event knowledge graph. We present an online multilingual system for event detection and comprehension from media feeds, called VLX-Stories.The system retrieves information from news sites, aggregates them into events (event detection), and summarizes them by extracting semantic labels of its most relevant entities (event representation) in order to answer four Ws from journalism: who, what, when and where. This part of the thesis deals with the problems of Topic Detection and Tracking (TDT), topic modeling and event representation.The third part of the thesis builds on top of the models developed in the two previous parts to populate a knowledge graph from aggregated news. The system is completed with an emerging entity detection module, which detects mentions of novel people appearing on the news and creates new knowledge graph entities from them.Finally, data validation and triple classification tools are added to increase the quality of the knowledge graph population.This dissertation addresses many general knowledge graph and information extraction problems, like knowledge dynamicity, self-learning, and quality assessment. Moreover, as an industrial work, we provide solutions that were deployed in production and verify our methods with real customers.

  • GONZÁLEZ RODRÍGUEZ, MARTA: Nonlinear modeling and characterization of SAW devices for communications systems
    Author: GONZÁLEZ RODRÍGUEZ, MARTA
    Thesis link: http://hdl.handle.net/10803/689353
    Programme: DOCTORAL DEGREE IN SIGNAL THEORY AND COMMUNICATIONS
    Department: Department of Signal Theory and Communications (TSC)
    Mode: Normal
    Reading date: 10/02/2023
    Thesis director: COLLADO GOMEZ, JUAN CARLOS | GONZALEZ ARBESU, JOSE MARIA

    Committee:
         PRESIDENT: AIGNER, ROBERT
         SECRETARI: GELONCH BOSCH, ANTONIO JOSE
         VOCAL: OLIVARES ROZA, JIMENA
    Thesis abstract: Nowadays, worldwide booming growth in mobile devices puts a lot of pressure on the mobile communications technologies since an enormous amount of requirements, mainly focused on delivering enhanced mobile broadband services to consumers, are needed. The ever-increasing data rate requirements and the support for wireless technologies, like 5th Generation (5G), set a lot of pressure to manufacturers in finding new solutions to face the coexistence and integration of several radio systems operating in the Radio-Frequency (RF) modules.This scenario introduces a variety of challenges that have to be faced when using multi-band operation. One of them is to fight against the desensitization in the RF front-end due to the generation of spurious signals by the nonlinearity of passive components inside the handset. Passive InterModulation (PIM) is becoming a major concern in the design of RF transceivers where the transmitter and receiver share the antenna, since it can cause receiver blocking. PIM might arise from different components such as antennas, mixers, filters, etc. Among the components into the RF chain, the filtering stage is one of the critical components since apart from high selectivity and miniaturization, they also have to meet low PIM specifications and thus, becoming a challenging taskfor RF designers.To face these technological constraints, acoustic wave filters have been giving response to this need because of their outstanding performance, and have become a suitable solution for the emerging communications standards. Bulk Acoustic Wave (BAW) and Surface Acoustic Wave (SAW) are nowadays the main technologies, offering filtering structures with very low insertion losses andgood out-of-band rejection that are in compliance with current system specifications. Despite it seems clear that the acoustic technology shows major advantages, there are some drawbacks too. One of them is that both BAW and SAW resonators exhibit a nonlinear behavior giving place to Intermodulation (IMD) and Harmonic distortion (H). Accordingly, RF front-end high linearization demands may become an issue to be solved in the definition of new advanced services in future standards.There has been a rise in interest in the modeling and simulation of the nonlinearities of SAW devices during the last two decades. Despite different approaches Finite Element Model (FEM), Coupling of Modes (COM) and P-Matrix had been widely used, there is a lack of consensus about the nonlinear generation driven by the difficulty to identify geometry-independent material parameters that could predict the nonlinear behavior of any resonator before manufacturing.To this end, the thesis will be focused on the accurate nonlinear characterization of SAW devices. The modeling and simulation ofnonlinearities on SAW resonators will be the most important milestone of the thesis. Specifically, the development of fundamental circuit models to account for the nonlinear mechanism occurring in SAW resonators and, the implementation of mathematical techniques to synthesize circuital networks based on these models to reduce the computational time to improve the simulation andmodeling of these resonators.The novelty of this thesis lies in the development of a characterization process for SAW resonators allowing to predict the behavior of new devices with other geometries. To be successful in this process, an equivalent nonlinear circuital model is proposed. The developed model is distributed and directly related to the the local constitutive equations of the piezoelectricity. Special efforts areexpended towards developing a new method of analysis for the simulation of both H and IMD generation in SAW resonators and filters. Several experimental verifications have shown that despite of its simplicity, the proposed model is extremely consistent and fast to simulate the linear and nonlinear response of different devices using only a geometry-independent nonlinear parameter.

  • GUERRA GÓMEZ, ROLANDO: Radio access network optimization with proactive resource management for 5G and beyond
    Author: GUERRA GÓMEZ, ROLANDO
    Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
    Programme: DOCTORAL DEGREE IN SIGNAL THEORY AND COMMUNICATIONS
    Department: Department of Signal Theory and Communications (TSC)
    Mode: Normal
    Reading date: 19/05/2023
    Thesis director: RUIZ BOQUE, SILVIA

    Committee:
         PRESIDENT: VALDOVINOS BARDAJÍ, ANTONIO
         SECRETARI: VALENZUELA GONZALEZ, JOSE LUIS
         VOCAL: KARTSAKLI, ELLI
    Thesis abstract: The Fifth-Generation (5G) of cellular networks significantly increases the performance and flexibility of the offered services to users and service providers. The strict network requirement of 5G use cases has been supported by integrating service-based architecture in the core network,flexible radio access network architecture, and implementing numerous wireless technologies. Researchers and Mobile Network Operators (MNOs) face vast challenges not only in the definition process but also in the deployment phase.The research community should define robust and dynamic radio network solutions to tackle the complexity and flexibility of 5G and beyond mobile network requirements. As mentioned, the radio access network architecture has been crucial in defining 5G systems. Especially the Cloud Radio Access Network (C-RAN) architecture has played a fundamental role as part of the new generation radio access network (NG-RAN) because it has the potential to support extremely dense radio network deployments while reducing costs because of the simplification of the radio units. Moreover, C-RAN enhances the network capacity by reducing the number of required resources because it centralizes the baseband functionalities in Baseband Units (BBU) pools or Central Units (CUs), sharing the same resource to manage multiple Remote Radio Heads (RRHs) or Radio Units (RUs). Moreover, Coordinated Multipoint (CoMP), enhanced Inter-Cell Interference Coordination (eICIC), and beamforming technologies could be easily implemented in the C-RAN structure, improving the 5G network performance.However, sustainability and energy efficiency are crucial to support future services and network requirements. Namely, It is fundamental to reduce energy consumption, resource usage, and emissions footprints to avoid excessive power consumption. The enormous increase in the number of devices, data amounts, and data rates implies an increase in the overall data traffic and required capacity, while energy reduction is not automatically guaranteed. On the other hand, the optimal management of the computational resources to satisfy current and future network requirements also becomes a challenge. This doctoral thesis aims to address some of the challenges above. Most of the published research works employ synthetic scenarios to validate the results. A realistic C-RAN platform has been implemented, opposing these approaches. The proposed architecture considers rural and urban zones, heterogeneous deployment with macro and small cells, time-variant traffic patterns, realistic user equipments with guaranteed bit rate and best effort services, Quality of Service (QoS) constraints, a 3D ray-tracing propagation model, multiple frequency bands, different split options, among other significant features. This platform becomes fundamental in the validation of the proposed algorithms.5G and beyond radio network deployment will be ultra-dense. However, optimizing the costs and energy consumption is not automatically guaranteed. For this reason, this thesis also provides a non-linear data modeling and decision-making tool to maximize cost reduction versus coverage-QoS trade-off by optimizing the active RRHs needed according to traffic demands. Besides, it proposes a novel strategy for Dynamic Resource Management with Adaptive Computational capacity (DRM-AC) using Machine Learning (ML) techniques. Three ML algorithms have been considered in the final design after testing multiple approaches: support vector machine (SVM), time-delay neural network (TDNN), and long short-term memory (LSTM). DRM-AC reduces the average of unused resources by 96 %, but there is still QoS degradation when RCC is higher than the predicted computational capacity (PCC). To further improve, two new strategies are proposed and tested in a realistic scenario: DRM-AC with pre-filtering and DRM-AC with error shifting, reducing the average of unsatisfied resources by 98% and 99.9% compared to the DRM-AC.

  • IBRAHIM MOHAMED BADR, ASMAA: Machine learning algorithms for 5G optical network
    Author: IBRAHIM MOHAMED BADR, ASMAA
    Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
    Programme: DOCTORAL DEGREE IN SIGNAL THEORY AND COMMUNICATIONS
    Department: Department of Signal Theory and Communications (TSC)
    Mode: Normal
    Reading date: 18/07/2023
    Thesis director: PRAT GOMA, JOSEP JOAN

    Committee:
         PRESIDENT: URBAN, PATRYK
         SECRETARI: SANTOS BLANCO, MARÍA CONCEPCIÓN
         VOCAL: FÀBREGA SÁNCHEZ, JOSEP MARIA
    Thesis abstract: Throughout this thesis we addressed 5G network challenges. The non-coherent optical modulationtradeoff has been addressed, as we proposed FBMC and artificial intelligence-based schemes. Theproposed schemes have been proved to solve the spectral and the power efficiency trade off in non-coherent optical modulation schemes. Then we addressed the problem of interference management for indoor and outdoor networks. We evaluated the proposed scheme for VLC network and for the front haul optical network. The proposed schemes show significant enhancement in the network behavior regarding power saving and network management. Chapter 2 presented a non-coherent optical modulation transceiver based on artificial neural network and decision regression tree. It is shown that nonlinear regression provides the best system performance, over linear and polynomial regression, as it offers betterfeature extraction. While the transceiver based on decision regression tree eliminates the clippingdistortion produced by clipping the transmitted signal over optical channel. The proposed transceiver overcomes the tradeoff between the spectral and the power efficiency of the noncoherent optical modulation, moreover it shows better performance and enhanced BER for high subcarrier spacing. On the other side, reducing the subcarrier spacing highly influences the RDT scheme, as it increases the BER and the complexity of the scheme. It is shown that the AI based transceiver enhances the BER of the DCO-OFDM, as the BER reaches 10^-3 at 5 db SNR with the same spectral efficiency. While in chapter 3, the optical ACO-FBMC scheme for direct detection modulation was presented. We have shown that the proposed scheme eliminates self-frame interference and suffers from inter-frame interference. Interframeinterference is eliminated using the proposed iterative receiver. Also, the ACO-FBMC enhances the BER performance of the ACO-OFDM with the perfect rectangular pulse shaping and eliminating the emission of the filter bank out of the band. Our system model has higher spectral efficiency than the classic ACO-OFDM, as FBMC shows better spectral efficiency by removing the guard interval. Moreover, it has been shown that the ACO-FBMC with 8 overlapping factors improves the BER performance of the ACO-OFDM by 4 dB due to the perfect rectangular pulse shaping and the elimination of the out-band emission of the filter bank. In chapter 4, we addressed the problem of interference management in a VLC indoorsystem with multi-user access. The performance of the system applying the SRF technique compared toUFR and PFR. The results showed that the proposed approach improves system performance in terms of total system throughput, outage probability, and SINR. It solves the problem of high SINR at the cell edge as experienced by UFR and improved the overall system throughput as compared with PFR. In chapter 5, we proposed RRH-BBU assignment based on clustering algorithm that targets minimizing the power consumption and the inter BBU handover. The proposed algorithm computes the required number of installed BBUs to accommodate the maximum traffic load, deploys time series clustering as temporal clustering method, and applies DBSCAN algorithm to divide each temporal cluster into several spatial cluster based on the cell location. Then the problem of assigning RRH of each cluster is described as a binpacking optimization problem to find the optimum number of BBUs for each cluster. The proposedalgorithm has been validated using real world CDR of Milan city and it is verified the published Milanland use map. The inter BBU handover signals have been enhanced by assigning near RRHs to the samespatial cluster and same BBU, to avoid inter BBU handover. It is shown that the algorithm reduces the total power consumption of the current deployed network by 28.8 %, by assigning all the active RRHs tocertain BBUs based on the traffic load and switching off the unassigned BBUs.

  • LOPEZ BUENO, DAVID: Machine learning techniques for adaptive polynomial and neural network digital predistorters
    Author: LOPEZ BUENO, DAVID
    Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
    Programme: DOCTORAL DEGREE IN SIGNAL THEORY AND COMMUNICATIONS
    Department: Department of Signal Theory and Communications (TSC)
    Mode: Normal
    Reading date: 07/07/2023
    Thesis director: GILABERT PINAL, PERE LLUIS | MONTORO LOPEZ, GABRIEL

    Committee:
         PRESIDENT: QUAGLIA, ROBERTO
         SECRETARI: MATEU MATEU, JORDI
         VOCAL: MADERO AYORA, MARIA JOSÉ
    Thesis abstract: The power amplifier (PA) is a core element in the radio transmitters to support the required mobile and fixed broadband communication link ranges. However, the PA is a power-hungry and nonlinear by nature device. Under spectrally efficient wideband modulated waveforms with high peak-to-average power ratio, the PA energy efficiency is significantly decreased since back-off operation is needed to meet the transmission quality requirements. Moreover, when employing highly efficient amplification architectures, like Doherty, load modulated balanced amplifier (LMBA) or envelope tracking (ET) PAs, the added distortion is left as an issue to be addressed at system level by a linearizer. In this context, the closed-loop adaptive digital predistorter (DPD) is a key component of the digital front-end (DFE) to counteract the PA nonlinear response under varying conditions and to cope with the inherent trade-off between linearity and efficiency. According to the fifth generation (5G) and beyond communication technologies and the proposed radio transmitter and PA architectures, the DPD may have to deal with strong nonlinearities and memory effects, in-phase and quadrature (IQ) modulator imbalances and DC offsets, additional PA supply or load modulation distortion, and multi-antenna PA input and output cross talk and beam-dependent effects. Such impairments degrade the radio access network (RAN) energy efficiency, capacity, and the number of potential RAN users due to the increased in-band and out-of-band distortion. The adaptive DPD can overcome such undesired effects but faces relevant obstacles. At every new generation of mobile communication systems, the signal bandwidth is increased and the DPD needs to be operated at higher speed. The DPD challenges are twofold. On the one hand, combining massive bandwidth operation together with handling complex multi-dimensional effects may increase exponentially the complexity of the DPD and make it both commercially unaffordable and energy inefficient due to the increased cost and power consumption at the DFE and data conversion stages. On the other hand, the adaptive DPDs need significantly larger training periods to compensate for all the undesired effects. In line with the above-mentioned challenges, the research presented in this dissertation aims at guaranteeing best DPD linearity versus efficiency trade-off in complex nonlinear scenarios, by leveraging on efficiently deployed machine learning (ML) and artificial intelligence (AI) techniques to reduce the computational complexity of DPD modeling and identification at the DFE, guaranteeing well-conditioned and robust DPD estimation, and drastically reducing the DPD training times while meeting performance requirements. To accomplish that, several newly applied and customized ML feature selection and feature extraction dimensionality reduction techniques are combined with new training data length reduction schemes, to ensure both reduced DPD behavioral modeling matrices and input datasets in single-antenna and multi-antenna adaptive polynomial and neural network DPD architectures, respectively. To validate the benefits of these contributions in accordance with the previous goals, all these techniques have been deployed and thoroughly benchmarked under adverse conditions in realistic laboratory test benches.

  • LUGO HERNÁNDEZ, EDUARDO: Analysis of thin-film solidly mounted resonators for applications in harsh environments
    Author: LUGO HERNÁNDEZ, EDUARDO
    Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
    Programme: DOCTORAL DEGREE IN SIGNAL THEORY AND COMMUNICATIONS
    Department: Department of Signal Theory and Communications (TSC)
    Mode: Normal
    Reading date: 10/10/2023
    Thesis director: MATEU MATEU, JORDI | MIREA, TEONA

    Committee:
         PRESIDENT: RODRÍGUEZ MÉNDEZ, LUIS MANUEL
         SECRETARI: VALENZUELA GONZALEZ, JOSE LUIS
         VOCAL NO PRESENCIAL: MIGUEL RAMOS, MARIO DE
    Thesis abstract: The sensing industry is constantly growing due to its demand in fields that require critical and essential information (data environment) for human safeness and quality of life. In recent years, designers, researchers and engineers have paid especial attention in at least three important characteristics in order to obtain reliable devices. These characteristics are: costs reduction, miniaturization for electronic integration compatibility (IC) and sensitivity. A promising technology that has the capacity to meet these requirements is the electroacoustic one. This technology is primary based on the propagation of surface acoustic waves (SAWs) and bulk acoustic waves (BAWs) in a piezoelectric material. For the last years, these devices have been studied and tested in different sensing applications such as gas detectors (gravimetric sensors), temperature monitoring and thin film growth. They have been tested in different fields such as automotive industry, food preservation and thin film deposition, and they have proved excellent performance. Moreover, these applications are special because the collected data occurs in harsh environments. Therefore, the required technology must possess special characteristics to meet these requirements under such environmental conditions. One more time, electroacoustic devices have showed good performance on this type of environments and conditions. BAW devices are an excellent solution to overcome the requirements needed due to their high resolution, straightforward fabrication process, high sensitivity, low costs, low size and compatibility with the IC technology. Specifically, the Solidly Mounted Resonator (SMR) configuration based on AlN is one of the best option since it has been widely studied. This configuration is well-known for its applications in Radio Frequency communication systems. Furthermore, it has demonstrated excellent performance and high quality factors in various sensing applications, even at high temperatures up to 1000°C. Additionally, it has exhibited spurious-free resonances. This characteristic is especially important in sensing applications as the presence of spurious modes can distort the sensor behavior and modify the results i.e., in mass detectors these spurious modes might affect the series frequency resonance, which is directly related with the change of the detected mass. Although this technology has been tested and showed excellent performance at high temperatures, there is a lack of studies in applications at very low or cryogenic temperatures. In this research work, we present results based on specific designs and simulations, considering the aforementioned requirements, such as temperature and pressure variations, as well as spurious-free resonances. This thesis introduces two significant novelties: the investigation conducted at low temperatures, which remains an essential area of research, on the other side, we include the examination of geometry and topology as potential contributors to the presence of spurious resonances. Additionally, we experimentally validate our models by means of data extracted from fabricated SMRs, which are based on the c-axis oriented AlN piezoelectric material. In order to carry out our simulations, we have paid careful attention to the well-known one-dimensional Mason¿s model and Butterworth-Van Dyke (BVD), which are based on the physical properties of materials and equivalent electrical circuit, respectively. We have modified and updated these models to analyze the presence of a new resonator coupled with the main resonance frequency (2.5 GHz). In addition, we have put an enormous attention in the quality factor (Q), frequency resonances and effective piezoelectric coupling factor (keff2) behavior as a function of temperature. We carried out simulations and compared them with measurements from -160 °C up to 422°C.

  • MANSO FERNÁNDEZ ARGÜELLES, CARLOS AGUSTÍN: Cloud-native orchestration and automation for disaggregated networks
    Author: MANSO FERNÁNDEZ ARGÜELLES, CARLOS AGUSTÍN
    Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
    Programme: DOCTORAL DEGREE IN SIGNAL THEORY AND COMMUNICATIONS
    Department: Department of Signal Theory and Communications (TSC)
    Mode: Normal
    Reading date: 18/05/2023
    Thesis director: MUÑOZ GONZALEZ, RAUL | VILALTA CAÑELLAS, RICARD

    Committee:
         PRESIDENT: CALLE ORTEGA, EUSEBI
         SECRETARI: COMELLAS COLOME, JAUME
         VOCAL: GONZÁLEZ DÍAZ, SERGIO
    Thesis abstract: Transport networks are segmented by different technologies and domains, what makes difficult automated end-to-end operations and making direct human intervention needed to deploy connectivity services.On top of that, datacenter operators are achieving efficiency and cost reduction by decoupling the software from the hardware, using white-box hardware with open Application Programming Interfaces (APIs), enabling more customization and vendor competition. Still, there are no clear standard data models that describe the device capabilities, attributes, operations and notifications, as well as efficient transport protocols that provides primitives to view and manipulate the data.Moreover, the growth of demanded by users, threaten to exhaust the capacity of Wavelength Division Multiplexing (WDM) optical networks. Extending the spectrum of use can be a short term solution, but in the long term, Spatial DivisionMultiplexing (SDM) needs to be deployed to keep up with capacity demands.The first objective is to provide network control to multi-layer multi-domain disaggregated packet optical networks. A control architecture for partially disaggregated optical networks is presented, based on a Software Defined Networking (SDN) controller that is able to controll them. It uses an Open Line System (OLS) controller to manage the optical line, using standard interfaces, and open transponders. To alleviate part of this complexity, an architecture for the orchestration of multi-domain multi-layer, packet and optical networks is also presented. The main idea is orchestrating the packet and opticaldomains using an agnostic centralized orchestrator that is only responsible for domain selection of multi-domain paths, wrapping the underlying domains with SDN controllers with standardiet interfaces. The deployment of SDM links betweenoverloaded WDM nodes is proposed to alleviate links that are reaching full capacity. The presented target architecture consists of OLS controlled domains for WDM and SDM and open transponders following the disaggregated approach. These architectures are demonstrated in real optical testbeds.The second objective is to present an architecture than can keep up with the centralization and the complexity that the SDN approach comes with. A cloud-native architecture for SDN controllers that is able to cope with the complexity and size oftransport networks is presented, based on the micro-services software architecture, that allows for self-healing infrastructure, independent auto scaling of micro-services and autonomous deployment and development of each module.Then, the same micro-service architecture is updated with a solution to scale the database, replicating the micro-service.Data coherence must be kept at all times, and micro-services must be aligned so there is no data corruption or misalignment. This is done using NewSQL databases, included in the architecture.The final objective deals with an architecture that joins the data gathering, training of models, and execution, needed to feed data to support multiple operations in the zero-touch management approach. A telemetry-enabled SDN controller architecture is shown, using novel, open, low-latency, and low-overhead telemetry protocols, with a demonstration of it's scalability. The telemetry system is used to provide the deployment of SDM links between WDM nodes. The proposed architecture also allows dynamic provisioning and reconfiguration of the VNT in case of failure or changes in the requested capacity. The SDN centralization allows improved data gathering from all the segments it controls. This way, machine-learning algorithms can benefit from it, getting access to easy data to train their models. An architecture that joins the data gathering, training of the models, and execution, capable of improving multiple operations is presented and showcased with a Quality of Transmission (QoT) predictor using machine-learning.

  • MAULE, MASSIMILIANO: Dynamic resource optimization and orchestration techniques for 5G new radio and beyond
    Author: MAULE, MASSIMILIANO
    Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
    Programme: DOCTORAL DEGREE IN SIGNAL THEORY AND COMMUNICATIONS
    Department: Department of Signal Theory and Communications (TSC)
    Mode: Normal
    Reading date: 16/06/2023
    Thesis director: VERIKOUKIS, CHRISTOS | VARDAKAS, JOHN

    Committee:
         PRESIDENT: KSENTINI, ADLEN
         SECRETARI: ADELANTADO FREIXER, FERRAN
         VOCAL: LOGOTHETIS, MICHAEL
    Thesis abstract: Earmarked as the revolutionary 5G key enabler, Network Slicing (NS) is the embodiment of the concept of running multiple logical networks as virtually independent business operations on a common physical infrastructure in an efficient and economical way[2]. NS enables the sharing of 5G RAN functional elements and the Transport Network (TN), securing the effective allocation andprioritization of the limited resources available, and offering to the customer improvement in service flexibility and scalability. By combining 5G and NS solutions, Service Providers (SPs) will pave the ways to cutting-edge industry fields such as Massive IoT, high resolution video on-demand services, smart manufacturing, and advanced solutions like Augmented Reality (AR), Virtual Reality (VR) and cloud gaming, gaining access to potential new revenue sources and smarter solutions to support end customers[3].This dissertation provides a contribution to the design, analysis, and evaluation of novel multi- tenant RAN NS techniques for the dynamic orchestration of the radio resources in 5G NR. Our research aims to define in real-time the optimal resources¿ allocation per slice, able to overcome the resources¿ under-over provisioning issue, by exploiting the latest 5G NR features and flexibilityprinciples of the 5G infrastructure. All the proposed mathematical models have been extensively validated using the 5G simulation platforms and\or real 4G-5G testbed configurations. The main thesis contributions are divided into two parts. In the first part, starting from a common baseline scenario, four different resource orchestration frameworks are presented, where the optimization problem is gradually refined through the exploitation of distinct mathematical models, 5G features, and metrics. In the second part, the design of a novel Open-RAN (O-RAN) Functional Split (FS) architecture for Software Defined Radio (SDR) has been proposed;this innovative concept represents a step forward to the creation of a shared RAN environment for the fair coexistence of multivendor solutions, as massively promoted in 5G. During the elaboration of this thesis, two general key conclusions have been extracted. First, higher performance, system stability, and advanced service customization can be achieved using real-time NS in the RAN, outperforming the current state of the art limitations. This is possible through the new set of capabilities, sharing principle, and infrastructure scalability introduced in 5G NR. Second, we highlight the role of virtualization\softwarization of the network functionalities in 5G, illustrating the advantages of a shared infrastructure compared with a single vendor approach. [2] GSMA Association, ¿An Introduction to Network Slicing¿, White Paper, 2017.2GSMA Association, ¿An Introduction to Network Slicing¿, White Paper, 2017. [3] Ericsson, ¿5G RAN Slicing: Capture new business revenues in the 5G era¿, Ericsson Business Review, October 2021.

  • MONTERO BAYO, LUCA: 5G and its impact on the automotive industry
    Author: MONTERO BAYO, LUCA
    Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
    Programme: DOCTORAL DEGREE IN SIGNAL THEORY AND COMMUNICATIONS
    Department: Department of Signal Theory and Communications (TSC)
    Mode: Normal
    Reading date: 21/09/2023
    Thesis director: JOFRE ROCA, LUIS

    Committee:
         PRESIDENT: SIERRA CASTAÑER, MANUEL
         SECRETARI: AGUASCA SOLE, ALBERTO
         VOCAL: MERLANO DUNCAN, JUAN CARLOS
    Thesis abstract: The 5th generation of mobile communications has been designed to address the unstoppable demand of data bandwidth. However, it also gives support to a range of vertical industries with different Quality of Service demands, such as the automotive industry. The automotive industry is undergoing a significant transformation in response to the changing needs of consumers and the advances in Advanced Driver Assistance Systems, catalyzing the development of autonomous driving and redefining the service portfolio of traditional automakers.The next milestone of the industry is the widespread deployment of Vehicle to Everything (V2X) technologies, which aim to connect the vehicle to its neighboring road users. V2X stands as a promising enabler of use cases that can increase driver awareness, extend the perception of sensors beyond line of sight, and have an impact on overall traffic efficiency. This thesis covers the state of the art of V2X technologies, identifying the biggest challenges and putting the performance of current standards to a test. The actual game changer of V2X is the incorporation of 5G features for vehicle connectivity. Vehicles can then make use of ultra-reliable low-latency mechanisms and new frequency bands to enable a set of advanced use cases that assist autonomous decision-making and make reliable autonomous driving a reality. This thesis also covers the implications of multi-element, beamforming antenna systems to give support to these 5G features and the performance they promise to deliver. Accounting for the paradigm shift towards beam-based vehicular communications, this thesis makes an emphasis on several specification and research challenges, such as beam management, which are thoroughly assessed. As such, this thesis sheds light into the inner workings of 5G-V2X and points its biggest white spots to eventually enable the autonomous vision for 5G and beyond.

  • MOSELLA MONTORO, ALBERT: Graph convolutional neural networks for 3D data analysis
    Author: MOSELLA MONTORO, ALBERT
    Thesis link: http://hdl.handle.net/10803/689400
    Programme: DOCTORAL DEGREE IN SIGNAL THEORY AND COMMUNICATIONS
    Department: Department of Signal Theory and Communications (TSC)
    Mode: Normal
    Reading date: 22/02/2023
    Thesis director: RUIZ HIDALGO, JAVIER

    Committee:
         PRESIDENT: SMOLIC, ALJOSA
         SECRETARI: MARQUES ACOSTA, FERNANDO
         VOCAL: HARO ORTEGA, GLORIA
    Thesis abstract: Deep Learning allows the extraction of complex features directly from raw input data, eliminating the need for hand-crafted features from the classical Machine Learning pipeline. This new paradigm brought a boost in the performance across several domains, including computer vision, natural language processing and audio processing. However, there are still challenges when dealing with unorganized structures. This thesis addresses this challenge using Graph Convolutional Neural Networks, a new set of techniques capable of managing graph structures that can be used for processing 3D data. The first part of the thesis focuses on the Graph Analysis task, in which we will study the capabilities of Graph Convolutional Neural Networks to capture the intrinsic geometric information of 3D data. We propose the Attention Graph Convolution layer that learns to infer the kernel used during the convolution, taking into account the particularities of each neighbourhood of the graph. We explore two variants of the Attention Graph Convolution layer, one that explores a residual approach and another one that allows the convolution to combine different neighbourhood domains. Furthermore, we propose a set of 3D pooling layers that mimics the behaviour of the pooling layers found in common 2D Convolutional Neural Networks architectures. Finally, we present a 2D-3D Fusion block capable of merging the 3D geometric information that we get from a Graph Convolutional Neural Network with the texture information obtained by a 2D Convolutional Neural Network. We evaluate the presented contributions on the RGB-D Scene Classification task. The second part of this thesis focuses on the Node Analysis task, which consists of extracting features on a node level, taking into account the neighbourhood structure. We present the Multi-Aggregator Graph Convolution layer that uses a multiple aggregator approach to better generalize for unseen topologies and learn better local representations. In addition, it reduces the memory footprint with respect to the Attention Graph Convolution layer. Finally, we analyze the capabilities of our proposed Graph Convolution layers to deal with heterogeneous graphs where the nodes of the graph may belong to different modalities. We evaluate the presented contributions with the Computer Graphics process of skinning a character mesh. Specifically, we propose a Two-Stream Graph Neural Network capable of predicting the skinning weights of a 3D character.

  • NICOLÁS ÁLVAREZ, JORGE: Interferometric Orbit Determination for Geosynchronous Earth Sensing Missions
    Author: NICOLÁS ÁLVAREZ, JORGE
    Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
    Programme: DOCTORAL DEGREE IN SIGNAL THEORY AND COMMUNICATIONS
    Department: Department of Signal Theory and Communications (TSC)
    Mode: Normal
    Reading date: 16/05/2023
    Thesis director: BROQUETAS IBARS, ANTONI | AGUASCA SOLE, ALBERTO

    Committee:
         PRESIDENT: LÓPEZ SÁNCHEZ, JUAN MANUEL
         SECRETARI: COMERON TEJERO, ADOLFO
         VOCAL: MAKHOUL VARONA, EDUARDO
    Thesis abstract: Future Geosynchronous Synthetic Aperture Radar (GEOSAR) missions will provide permanent monitoring of continental areas of the planet with revisit times of less than 24 h. Several GEOSAR missions have been studied in the USA, Europe, and China with different applications, including water cycle monitoring and early warning of disasters. GEOSAR missions require unprecedented orbit determination precision in order to form focused SAR images from Geosynchronous Orbits (GEO). A precise orbit determination technique based on microwave interferometry is proposed.An interferometric orbit determination system has been designed and implemented in order to acquire experimental phase observations from which the trajectory of the satellite can be estimated. The technique presents the capacity for tracking illuminators of opportunity, allowing interferometry to be tested without launching any new spacecraft. Multiple experimental campaigns are carried out using the signals of opportunity from the satellites of the Astra 19.2oE constellation.Since the measurement sensitivity of the interferometer increases with the length of the baseline, a signal relay strategy is proposed in order to extend the baseline while keeping all the receivers together, sharing a common clock reference. The use of passive reflectors in the near field of the secondary receivers forms a compact interferometric baseline of 15~m. The interferometer uses correlation techniques to operate with arbitrary transmitted signals. The correlator's high processing gain allows the system to effectively track weak signals well below the noise level. Thus, some buildings found in the vicinity of the campus are used as reflectors of opportunity, providing a weak satellite signal scattered in the direction of the receiver antennas,forming large interferometric baselines of up to 1200 m.An error model is developed in order to estimate the expected orbit determination precision from a set of interferometric phase observations. It considers the most important perturbations affecting a microwave interferometer, such as the tropospheric and ionospheric perturbations, the transmission line errors, the system's temperature differences, the absolute phase ambiguity, and the uncertainty in the receivers positioning. This model allows to establish the requirements and to configure the settings of the tracking system according to the needs of the space mission under consideration.The relative phases measured between the receivers are used to estimate the satellite position. The experimental results prove the technique is able to track GEOSAR satellites based on their transmitted signals. An interferometer with three baselines of 15m, 300 m, and 1200 m uses the shorter baseline to solve the absolute phase ambiguity and the longer ones to retrieve the trajectory of the satellite with precision. The resulting orbit determination error with respect to the true trajectory is estimated to be in the order of 400 m in an urban environment due to the uncertainty of the position of the distributed reflectors of opportunity.The precision would improve substantially with the installation and precise geodetic location of dedicated metallic reflectors. This result cannot be confirmed due to the lack of an accurate ground truth, but it is consistent with the expected orbit determination precision computed with the error model.Finally, the echoes resulting from the scattering of GEO satellite transmissions on the surrounding urban structures and mountains are processed in order to form SAR images of Barcelona. The images were formed with the estimated trajectoryinformation provided by the large baseline interferometric orbit determination system, proving their performance is valid for GEO remote sensing missions to form focused SAR images.

  • OJAGHI KAHJOGH, BEHNAM: Converged RAN/MEC slicing in beyond 5G (B5G)Networks
    Author: OJAGHI KAHJOGH, BEHNAM
    Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
    Programme: DOCTORAL DEGREE IN SIGNAL THEORY AND COMMUNICATIONS
    Department: Department of Signal Theory and Communications (TSC)
    Mode: Normal
    Reading date: 13/07/2023
    Thesis director: ADELANTADO FREIXER, FERRAN | VERIKOUKIS, CHRISTOS

    Committee:
         PRESIDENT: PALAU SALVADOR, CARLOS ENRIQUE
         SECRETARI: SANCHEZ GONZALEZ, JUAN
         VOCAL: GELABERT DORAN, XAVIER
    Thesis abstract: The main objective of this thesis is to propose solutions for implementing dynamic RAN slicing and Functional Split (FS) along with MEC placements in 5G/B5G. In particular, this thesis is divided into three parts. In the first part (Chapter 3), we model a joint slicing and FS optimization in the 5G RAN with the objectives of optimizing the centralization degree and throughput.In this work, the RAN slicing allowed a customized FS deployment per slice, thus optimizing the available resources, e.g., transport network capacity and Remote Radio Head (RRH) or Central Unit (CU) computational capacity. Next, we present the second part in Chapter 4 by extending the first work by proposing SlicedRAN: service-aware network slicing framework for 5G RAN to create isolated RAN slices based on the service requirements with customized functional splits per slice. The proposed framework investigates the bottlenecks in the capacity of RRHs Fronthaul/Backhaul (FH/BH) network capacity along with a minimum level of Service Level Agreement (SLA) for each slice imposed by the different service types. Finally, in the last part presented in Chapter 5, we investigate dynamic RAN/MEC slicing framework in Open-RAN (O-RAN) architecture to dynamically place the RAN protocol stack of Virtual Network Functions (VNFs) and MEC server per slice. This framework contains the bottlenecks in the capacity of Open-RAN Radio Units (O-RUs), MEC server computation capacity, together with a customized FS per slice, to jointly solve the challenge of operating cost-efficient edge networks and maintaining the served traffic with various QoS criteria. We use a robust Benders decomposition algorithm, which reduces the computation complexity while ensuring an exact and optimal global solution. The proposed algorithm successfully optimizes the joint throughput and system cost in various traffic scenarios while satisfying QoS criteria, as shown by trace-driven simulation results. Hence, in order to determine the right MEC settings for on-demand traffic and alter the MEC type to satisfy the QoS requirements of various User Equipment (UEs) belonging to different slice types, we explore the compute and storage capacity for MEC services such as Enhanced Mobile Broadband (eMBB) and ultra-Reliable and Low-Latency Communications (uRLLC). The overall conclusion of the present findings demonstrates a trade-off between the throughput attained and the cost incurred to the network. As a result, we investigate multi-objective optimization to construct slices while optimizing throughput and decreasing computational cost objectives, and we compare its performance to that of a single objective (maximizing throughput). The findings demonstrate that a throughput increase of up to 160% can be made possible by increasing 78% in the computation cost for a single objective when compared with multi-objective without prioritization. In addition, comparing a single objective with a multi-objective with priority in throughput, it increases throughput by up to 82% and adds 17% to computation costs. Consequently, a single objective of maximizing throughput can result in high throughput at the expense of high cost. It is possible to achieve almost half the amount of throughput using multi-objective with prioritization in throughput, whereas costs can be reduced five-fold.

  • PEREA ROBLES, RAFAEL: Novel transversal topologies and coupled resonator configurations for acoustic wave filters
    Author: PEREA ROBLES, RAFAEL
    Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
    Programme: DOCTORAL DEGREE IN SIGNAL THEORY AND COMMUNICATIONS
    Department: Department of Signal Theory and Communications (TSC)
    Mode: Normal
    Reading date: 09/06/2023
    Thesis director: MATEU MATEU, JORDI | COLLADO GOMEZ, JUAN CARLOS

    Committee:
         PRESIDENT: AIGNER, ROBERT
         SECRETARI: GILABERT PINAL, PERE LLUIS
         VOCAL: VILLANUEVA TORRIJO, LUIS GUILLERMO
    Thesis abstract: During the last years, electro-acoustic technology has been a key factor in the development of portable devices thanks to its high performance and very compact filtering structures. Such a technology has enabled the inclusion of several systems and standards in a single device.Specifically, with the introduction of the new 5G and the carrier aggregation techniques, today's handset devices might have more than 50 RF filters to support usage in countries across the world. As a matter of fact, the expectation is that these numbers increase over the future.The new generation of communication standards calls for very wide bandwidths of operation and higher data rates. These requirements impose the development of ultra-wideband filters that can provide outstanding performance in terms of low loss, high rejection and multifrequency operability in the smallest possible footprint.Ladder filter topology has been the preferred one for the development of filters in the past generations of standards, since it provides very high selective filters with low insertion loss levels. However, the maximum achievable bandwidth is limited to the electro-acoustic coupling coefficient, the position of the transmission zeros depends on the resonant frequencies of the resonators and itsout-of-band behavior is determined by the capacitance ratio between resonators. These shortcomings could become a bottleneckfor the forthcoming stringent specifications.In a recent work, a new transversal topology has been introduced that offers a high degree of flexibility in the design of acoustic filters and it has proven to solve some of the limitations of the ladder topology. Nevertheless, its differential behavior requires of a balun stage to properly work. Moreover, some circuital transformations that are carried out in the current synthesis procedures have some limitations when ultra-wideband filters are targeted.The aim of this work is to provide novel solutions that overcome the existing limitation of the current filter topologies in the state-of-the-art. Thereby, contributing with filter synthesis procedures that provide filters with larger relative bandwidths, higher rejection and a higher degree of miniaturization. On the one hand, a new synthesis procedure based on acoustic transversal filters for ultra-wideband filters is presented which culminates with the manufacturing of a real prototype with 24 % of fractional bandwidth operating at the N77 band. Moreover, advanced filtering responses based on multifiltering schemes for transversal topology are also analyzed. On the other hand, the concept of transversal topology is applied to acoustically-coupled structures: Stacked Crystal Filters and Coupled Resonator Filters (CRF). The extension of the transversal topology to these two configurations will allow to remove the balun stage of the convential acoustic transversal filters and also to provide a higher level of miniaturization. Finally, a new synthesis procedure for the development of fourth-order acoustic CRF structures from the mathematical formulation to the real layer configuration is presented. This might be a key factor for the development of the next generation of filters, since it could be mixedwith ladder and transversal topologies and give rise to advanced responses with improved performance, as well as with a further degree of miniaturization.

  • SAFARI, POOYAN: Unsupervised and attention approaches for deep learning speaker recognition
    Author: SAFARI, POOYAN
    Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
    Programme: DOCTORAL DEGREE IN SIGNAL THEORY AND COMMUNICATIONS
    Department: Department of Signal Theory and Communications (TSC)
    Mode: Normal
    Reading date: 19/05/2023
    Thesis director: HERNANDO PERICAS, FRANCISCO JAVIER

    Committee:
         PRESIDENT: LLEIDA SOLANO, EDUARDO
         SECRETARI: RODRIGUEZ FONOLLOSA, JOSE ADRIAN
         VOCAL: DOCÍO FERNÁNDEZ, LAURA
    Thesis abstract: The thesis presents various contributions to the field of speaker recognition. In the first part of the thesis, the focus is on unsupervised methods for speaker recognition. This includes a method that uses Deep Belief Networks (DBN) that is capable of handling a large number of impostor samples. Since the number of samples for each destination speaker is different, the training process is challenging, but we successfully overcome this hurdle using unsupervised learning to train a universal DBN (UDBN) and then adapting it to data for each target speaker. In the same direction, we present a new framework for speaker recognition based on Restricted Boltzmann Machines (RBM). The proposed solution, named RBM-vector, maps the spectral characteristics of the speaker to a single fixed-dimensional vector carrying the speaker-specific information. The framework uses the unsupervised learning capability of RBM to train a global model called Universal RBM (URBM), which is then fitted to the data for each speaker in the development, enrollment, and evaluation datasets. The adapted RBMs are concatenated, subject to dimension reduction, and whitened to generate speaker vectors. Evaluation on the NIST SRE 2006 database shows that RBM vectors outperform i-vectors in terms of EER by 15% using cosine scoring. Score fusion with i-vectors produces a relative improvement of more than 24%. The unsupervised nature of the RBM-vector and i-vector approaches make them a useful alternative to the i-vector/PLDA approach in scenarios where no labeled data is available. The focus of the second part of the thesis is on supervised methods for speaker recognition. Our first attempt tried to address the limitations of mobile devices, such as storage, processing power, memory, and power consumption, which have motivated researchers to design more efficient deep learning models. We proposed a new approach called the tandem Self-Attention Encoding and Pooling (SAEP) mechanism, inspired by the self-attention networks of the Transformer architecture. SAEP is a stack of blocks based on self-attention and positional feed-forward networks that create a vector tor representation of speakers from speech utterances of non-fixed length. This approach encodes short-term spectral features into speaker embeddings that can be used in text-independent speaker verification. We tested this approach on VoxCeleb1 and 2 datasets and found that it exceeds the benchmark x-vector and is competitive with some other benchmarks based on convolutions while shrinking the model size significantly. Compared to ResNet-34, ResNet-50 and x-vector, it uses 94%, 95% and 73% fewer parameters, respectively. Recently, it is common to use large self-supervised language models for speech recognition tasks. These models can be fine-tuned for specific tasks like speaker verification. Typically, these models are based on Self-Attention Networks (SANs). To explore the potentials and challenges of using these models for speaker verification, we propose a SAN-based speaker embedding extractor that can create a vector representation of a speaker from speech utterances of non-fixed length. We made some architectural modifications to the SAEP architecture to improve its performance and could achieve a relative improvement of 41% in terms of EER. The role of data augmentation was also studied. We addressed the training instability in these architectures in terms of rank collapse and proposed potential solutions to these shortcomings. The approach was tested on both VoxCeleb1 & 2 datasets.

  • SALCEDO BOSCH, ANDREU: Artificial intelligence, lidar and co-operative remote sensing for atmospheric observation and off-shore wind energy
    Author: SALCEDO BOSCH, ANDREU
    Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
    Programme: DOCTORAL DEGREE IN SIGNAL THEORY AND COMMUNICATIONS
    Department: Department of Signal Theory and Communications (TSC)
    Mode: Normal
    Reading date: 30/06/2023
    Thesis director: ROCADENBOSCH BURILLO, FRANCISCO

    Committee:
         PRESIDENT: BAY HASAGER, CHARLOTTE
         SECRETARI: BALDASANO RECIO, JOSE M.
         VOCAL: O\'CONNOR, EWAN JAMES
    Thesis abstract: Remote sensing of the atmosphere is widely used by the wind energy industry to both assess future wind farms deployment sites as well as to improve their operation. With the rising interest in offshore wind energy, remote sensing of the atmosphere has become essential in offshore deep-sea sites in order to reduce deployment and operation costs. Particularly, floating LiDARs have become the de-facto instrument for offshore wind resource assessment due to its flexibility and capabilities to measure the wind with equivalent accuracy as meteorological met-masts in a cost-effective manner. The main goal of this Thesis is to study and exploit the potentialities of existing atmospheric remote sensing instruments, with special emphasis on floating Doppler wind LiDARs. Towards this purpose, different signal processing and machine learning solutions are proposed and analysed. First, the correction of the effect of vertical wind on micro-rain-radar measurements is tackled by means of inverse methods. Second, the capabilities of floating LiDARs to retrieve ocean-related parameters is studied. To that end, signal processing techniques based on spectral analysis of the buoy's motion are used to characterize the ocean waves period. Third, and core part of this Thesis, the motion-induced error of floating-LiDAR measurements of the wind is studied in terms of estimation and compensation. Regarding the former, a novel analytical formulation to estimate horizontal-wind-speed bias and turbulence-intensity-increment error products is presented. The latter topic is tackled using machine learning techniques, specifically, an Unscented Kalman filter for motion compensation of floating-Doppler-wind-LiDAR measurements is presented, and its performance is analyzed under different wave and atmospheric scenarios.The presented methodologies are validated against reference fixed LiDARs and anemometers in the context of two measurement campaigns: "Pont del Petroli" and IJmuiden campaigns. Data clustering techniques are used to assess the quality of the retrieved data products under different scenarios of interest for the industry. The results attained by the novel solutions presented here further demonstrate the capabilities of floating Doppler wind LiDARs for off-shore wind monitoring, which strengthens their position as key remote-sensing instruments for the off-shore wind energy industry.

  • SARRIGIANNIS, IOANNIS: SFC Placement and lifecycle management in edge-enabled 5G architectures
    Author: SARRIGIANNIS, IOANNIS
    Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
    Programme: DOCTORAL DEGREE IN SIGNAL THEORY AND COMMUNICATIONS
    Department: Department of Signal Theory and Communications (TSC)
    Mode: Normal
    Reading date: 10/02/2023
    Thesis director: ANTONOPOULOS, ANGELOS | RAMANTAS, KONSTANTINOS

    Committee:
         PRESIDENT: PEREZ ROMERO, JORGE
         SECRETARI: SIOKIS, APOSTOLOS
         VOCAL: FIORE, MARCO
    Thesis abstract: The fifth generation (5G) of mobile communications urges software defined networking (SDN) and network function virtualization (NFV) to join forces with the multi-access edge computing (MEC) cause. Thus, reduced latency and increased capacity at the edge of the network can be achieved, to satisfy the requirements of a diverse ecosystem where multiple virtualization technologies (VTs) may be employed. 5G service providers highly rely on network softwarization for addressing the latency and resource demanding use cases of the 5G vertical industries, where both applications and network functions are incorporated into virtual network functions (VNFs). If not properly orchestrated, the flexibility of deployment, placement and lifecycle management (LCM) that the VNFs manifest, may cause serious issues in the NFV scheme. As the service level agreements (SLAs) of the 5G applications compete in an environment with traffic variations and VNF placement options with diverse compute and network resources, online placement techniques and advanced LCM approaches become mandatory.The local breakout that MEC-enabled architectures offer, signify that the data will not have to cross the entire network until they reach the application and return to the user, as the application is running at the MEC that is, usually, collocated with the access network.In this thesis, we tackle the challenges that arise in core and edge-enabled 5G architectures, and we elaborate how the different schemes of VNF deployments as VTs can be used and collaborate to support the automotive and Internet of things (IoT) use cases, as well as more demanding use cases that derive from the combination of various vertical industries. We go beyond the current state-of-the-art solutions by proposing innovative resource allocation and LCM-enabled scheduling algorithms. Furthermore, we focus on the challenges that arise in single-domain or federated environments, where the flexible placement and LCM of VNFs is supported by the NFV orchestrator (NFVO) that is able to manage, on-the-fly, the network functions and resources. Additionally, we deal with the limitations of the intelligence of the NFVO by providing service aware latency-based embedding and placement mechanisms. Moreover, we propose online scheduling and LCM algorithms where the VNFs are instantiated, scaled, migrated and destroyed based on the actual traffic, respecting the SLA of the 5G use cases, as well as the overall deployment and execution cost.Our work is supported by our versatile, open-source and custom-built 5G experimental platform, modified and adapted at each architecture to support the corresponding 5G use cases. The experimental results demonstrate the efficiency of our innovative algorithms and their efficacy to deal with the VNF placement and resource reallocation and optimization problems in actual demanding environments with unpredictable traffic schemes.Our methods allow the maximization of the total number of users served and the adaptation to real-time incoming traffic. At the same time, the application SLAs are respected in a cost-efficient way.

  • ZHOU, IVAN: Technologies for injection molded antennas for mass production
    Author: ZHOU, IVAN
    Thesis link: http://hdl.handle.net/10803/688924
    Programme: DOCTORAL DEGREE IN SIGNAL THEORY AND COMMUNICATIONS
    Department: Department of Signal Theory and Communications (TSC)
    Mode: Article-based thesis
    Reading date: 19/01/2023
    Thesis director: ROMEU ROBERT, JORDI

    Committee:
         PRESIDENT: BAQUERO ESCUDERO, MARIANO
         SECRETARI: BLANCH BORIS, SEBASTIAN
         VOCAL: SEGOVIA VARGAS, DANIEL
    Thesis abstract: The deployment of 5G antenna infrastructure and the mandatory adoption of anti-collision radars for automotive cars will require large amount of antennas operating in the millimeter and sub-millimeter wavelength. These antennas are usually arrays and the possibility to manufacture the antenna array including the feeding network and the radiating element as a plastic piece reducing the need to use large (Printed Circuit Boards) PCB¿s on expensive dielectric substrates, can be an interesting manufacturing technology. In this regard, waveguide-based antennas can be assembled using plastic technology with a proper metallization procedure. They are more scalable in terms of efficiency than microstrip line (ML) antennas and as the number of antennas in the array increases the gain is not reduced due to the losses in the substrate. In this thesis, the industrial challenges of this technology are addressed. A detailed tolerance study by including the plastic manufacturing errors, typically +-0.1mm, is carried out in order to check the feasibility of plastic antennas to address mass production. The antennas will need to be integrated with the radar chipsets, so a transition between the chip and the waveguide-antennas will be presented. These transitions can act as a direct chip-waveguide launcher, potentially reducing the need of using large substrates, hence reducing the cost of the antenna. Also, the need to apply metal coating is also explored to achieve the desired performance. Conventional techniques such as copper electrodeposition is used. The main drawback is that the copper has a lot of difficulties depositing into right angle surfaces. Eventually, these antennas will have to be integrated in the aesthetics of a car, usually behind a plastic radome (with its respective manufacturing errors as well) that will need to be designed and optimized properly in order to introduce the minimum distorsions to the radar. Optimization based on simulators done with commercial electromagnetic softwares like CST is not feasible due to the required large computation time. In this regard an ad-hoc ray-tracing based simulator has been developed to asses radome induced errors in radar performance. All these industrial problems are taken into account from the design stage where the time, price, fabrication tolerances and radiation requirements have to be compromised at the same time increasing dramatically the design complexity.

Last update: 11/12/2023 06:01:46.

Theses related publications

AUTHOR:IBRAHIM MOHAMED BADR, ASMAA
Title:Machine learning algorithms for 5G optical network
Reading date:18/07/2023
Director:PRAT GOMA, JOSEP JOAN
Mention:No mention
RELATED PUBLICATIONS
Resource allocation and interference management techniques for OFDM-based VLC atto-cells
Ibrahim, A.; Ismail, T.; Elsayed, K.; Darweesh, M.; Prat, J.
IEEE access, ISSN: 2169-3536 (JCR Impact Factor-2020: 3.367; Quartil: Q2)
Publication date: 13/07/2020
Journal article

Asymmetrical clipping optical filter bank multi-carrier modulation scheme
Ibrahim, A.; Prat, J.; Ismail, T.
Optical and quantum electronics, ISSN: 0306-8919 (JCR Impact Factor-2021: 2.794; Quartil: Q2)
Publication date: 05/2021
Journal article

Neural network based transceiver for non-coherent OFDM optical modulation
25th International Conference on Advanced Communication Technology
Presentation date: 02/2023
Presentation of work at congresses

AUTHOR:OJAGHI KAHJOGH, BEHNAM
Title:Converged RAN/MEC slicing in beyond 5G (B5G)Networks
Reading date:13/07/2023
Tutor/a:ALONSO ZARATE, LUIS GONZAGA
Director:ADELANTADO FREIXER, FERRAN
Co-director:VERIKOUKIS, CHRISTOS
Mention:No mention
RELATED PUBLICATIONS
Advanced Cloud-Based Network Management for 5G C-RAN
Maule, M.; Ojaghi Kahjogh, B.; Rezazadeh, F.
Springer Nature
Publication date: 24/07/2021
Book chapter

A GRASP meta-heuristic for evaluating the latency and lifetime impact of critical nodes in large wireless sensor networks
Sembroiz, D.; Ojaghi Kahjogh, B.; Careglio, D.; Ricciardi, S.
Applied sciences (Basel), ISSN: 2076-3417 (JCR Impact Factor-2019: 2.474; Quartil: Q2)
Publication date: 01/11/2019
Journal article

SlicedRAN: service-aware network slicing framework for 5G radio access networks
Ojaghi Kahjogh, B.; Adelantado, F.; Antonopoulos, A.; Verikoukis, C.
IEEE systems journal, ISSN: 1932-8184 (JCR Impact Factor-2021: 4.802; Quartil: Q2)
Publication date: 2021
Journal article

Impact of network densification on joint slicing and functional splitting in 5G
Ojaghi Kahjogh, B.; Adelantado, F.; Antonopoulos, A.; Verikoukis, C.
IEEE communications magazine, ISSN: 0163-6804 (JCR Impact Factor-2021: 24.6
Publication date: 07/2022
Journal article

SO-RAN: dynamic RAN slicing via joint functional splitting and MEC placement
Ojaghi Kahjogh, B.; Adelantado, F.; Verikoukis, Christos
IEEE Transactions on vehicular technology, ISSN: 1939-9359 (JCR Impact Factor-2021: 6.239; Quartil: Q1)
Publication date: 01/09/2022
Journal article

On the benefits of vDU standardization in softwarized NG-RAN: enabling technologies, challenges, and opportunities
Ojaghi Kahjogh, B.; Adelantado, F.; Verikoukis, C.
IEEE communications magazine, ISSN: 1558-1896 (JCR Impact Factor-2021: 9.03; Quartil: Q1)
Publication date: 04/2023
Journal article

AUTHOR:LOPEZ BUENO, DAVID
Title:Machine learning techniques for adaptive polynomial and neural network digital predistorters
Reading date:07/07/2023
Director:GILABERT PINAL, PERE LLUIS
Co-director:MONTORO LOPEZ, GABRIEL
Mention:No mention
RELATED PUBLICATIONS
Machine learning for digital front-end a comprehensive overview
Gilabert, Pere L.; López-Bueno, D.; Q. A. Pham; Montoro, G.
John Wiley & sons
Publication date: 03/02/2020
Book chapter

Technologies for emergency rollout of broadband public protection and disaster relief (BB-PPDR) communications in humanitarian crisis zones
The Institution of Engineering and Technology (IET)
Publication date: 15/08/2020
Book chapter

Amping up, saving power
López-Bueno, D.; Wang, T.; Gilabert, Pere L.; Montoro, G.
IEEE microwave magazine, ISSN: 1527-3342 (JCR Impact Factor-2016: 3.029; Quartil: Q1)
Publication date: 01/01/2016
Journal article

Independent digital predistortion parameters estimation using adaptive principal component analysis
López-Bueno, D.; Pham, T.; Montoro, G.; Gilabert, Pere L.
IEEE transactions on microwave theory and techniques, ISSN: 0018-9480 (JCR Impact Factor-2018: 3.756; Quartil: Q1)
Publication date: 01/01/2018
Journal article

Spectral weighting orthogonal matching pursuit algorithm for enhanced out-of-band digital predistortion linearization
Gilabert, Pere L.; López-Bueno, D.; Montoro, G.
IEEE transactions on circuits and systems II: express briefs, ISSN: 1549-7747 (JCR Impact Factor-2018: 3.25; Quartil: Q2)
Publication date: 01/01/2018
Journal article

Partial least squares identification of multi look-up table digital predistorters for concurrent dual-band envelope tracking power amplifiers
Pham, T.; López-Bueno, D.; Wang, T.; Montoro, G.; Gilabert, Pere L.
IEEE transactions on microwave theory and techniques, ISSN: 0018-9480 (JCR Impact Factor-2018: 3.756; Quartil: Q1)
Publication date: 02/08/2018
Journal article

Dynamic selection and estimation of the digital predistorter parameters for power amplifier linearization
Pham, T.; Montoro, G.; López-Bueno, D.; Gilabert, Pere L.
IEEE transactions on microwave theory and techniques, ISSN: 0018-9480 (JCR Impact Factor-2019: 3.413; Quartil: Q2)
Publication date: 03/07/2019
Journal article

Training data selection and dimensionality reduction for polynomial and artificial neural network MIMO adaptive digital predistortion
López-Bueno, D.; Montoro, G.; Gilabert, Pere L.
IEEE transactions on microwave theory and techniques, ISSN: 0018-9480 (JCR Impact Factor-2021: 8.1
Publication date: 11/2022
Journal article

FPGA implementation of a linearization system for wideband envelope tracking power amplifiers
Li, W.; Bartzoudis, N.; Rubio, J.; López-Bueno, D.; Montoro, G.; Gilabert, Pere L.
IEEE transactions on microwave theory and techniques, ISSN: 0018-9480 (JCR Impact Factor-2021: 8.1
Publication date: 04/2023
Journal article

SHAPER: demostrador experimental de técnicas de linealización digital de amplificadores de potencia para acceso y backhaul inalámbrico 4G/5G
XXXI Simposium Nacional de la Unión Científica Internacional de Radio
Presentation date: 06/09/2016
Presentation of work at congresses

Digital predistortion linearization for envelope tracking and outphasing power amplifiers for highly efficient wideband communication systems
2018 IEEE Radio & Wireless
Presentation date: 14/01/2018
Presentation of work at congresses

Multi-dimensional LUT-based digital predistorter for concurrent dual-band envelope tracking power amplifier linearization
2018 IEEE Radio & Wireless
Presentation date: 15/01/2018
Presentation of work at congresses

Adaptive principal component analysis for online reduced order parameter extraction in PA behavioral modeling and DPD linearization
2018 IEEE/MTT-S International Microwave Symposium
Presentation date: 15/06/2018
Presentation of work at congresses

Dynamic selection and update of digital predistorter coefficients for power amplifier linearization
2019 IEEE Topical Conference on RF/Microwave Power Amplifiers for Radio and Wireless Applications
Presentation date: 20/01/2019
Presentation of work at congresses

Linealización digital de transmisores mediante redes neuronales no lineales
XXXIV Simposium Nacional de la Unión Científica Internacional de Radio
Presentation date: 06/09/2019
Presentation of work at congresses

A method for selecting online the coefficients to be updated in a DPD for PA linearization
XXXIV Simposium Nacional de la Unión Científica Internacional de Radio
Presentation date: 06/09/2019
Presentation of work at congresses

Dataset reduction for neural network based digital predistorters under strong nonlinearities
IEEE Topical Conference on RF/Microwave Power Amplifiers for Radio and Wireless Applications 2021
Presentation date: 19/01/2021
Presentation of work at congresses

Slow-envelope shaping function FPGA implementation for 5G NR envelope tracking PA
2022 International Workshop on Integrated Nonlinear Microwave and Millimetre-Wave Circuits
Presentation date: 07/04/2022
Presentation of work at congresses

AUTHOR:DE CABRERA ESTANYOL, FERRAN
Title:Data-driven information-theoretic tools under a second-order statistics perspective
Reading date:03/07/2023
Director:RIBA SAGARRA, JAUME
Mention:No mention
RELATED PUBLICATIONS
Compression of multibeam echosounders bathymetry and water column data
Martí, A.; Portell, J.; Amblàs, D.; De Cabrera, F.; Vila, M.; Riba, J.; Mitchell, G.
Remote sensing, ISSN: 2072-4292 (JCR Impact Factor-2020: 4.848; Quartil: Q1)
Publication date: 25/04/2022
Journal article

Regularized estimation of information via canonical correlation analysis on a finite-dimensional feature space
De Cabrera, F.; Riba, J.
IEEE transactions on information theory, ISSN: 0018-9448 (JCR Impact Factor-2021: 6.2
Publication date: 20/03/2023
Journal article

A novel formulation of independence detection based on the sample characteristic function
26th European Signal Processing Conference
Presentation date: 03/09/2018
Presentation of work at congresses

Multi-satellite cycle-slip detection and exclusion using the noise subspace of residual dynamics
26th European Signal Processing Conference
Presentation date: 03/09/2018
Presentation of work at congresses

Robust estimation of the magnitude squared coherence based on kernel signal processing
51st Asilomar Conference on Signal, Systems and Computers
Presentation date: 31/10/2017
Presentation of work at congresses

Squared-loss mutual information via high-dimension coherence matrix estimation
2019 IEEE International Conference on Acoustics, Speech and Signal Processing
Presentation date: 12/05/2019
Presentation of work at congresses

A proof of de Bruijn identity based on generalized Price’s theorem
2019 IEEE International Symposium on Information Theory
Presentation date: 12/07/2019
Presentation of work at congresses

Entropy-based non-data-aided SNR estimation
53rd Annual Asilomar Conference on Signals, Systems, and Computers
Presentation date: 05/11/2019
Presentation of work at congresses

Estimation of information in parallel Gaussian channels via model order selection
45th IEEE International Conference on Acoustics, Speech, and Signal Processing
Presentation date: 06/05/2020
Presentation of work at congresses

AUTHOR:SALCEDO BOSCH, ANDREU
Title:Artificial intelligence, lidar and co-operative remote sensing for atmospheric observation and off-shore wind energy
Reading date:30/06/2023
Director:ROCADENBOSCH BURILLO, FRANCISCO
Mention:International Mention
RELATED PUBLICATIONS
Estimation of wave period from pitch and roll of a lidar buoy
Salcedo, A.; Rocadenbosch, F.; Gutierrez, M.; Tiana-Alsina, J.
Sensors (Basel), ISSN: 1424-8220 (JCR Impact Factor-2020: 3.576; Quartil: Q1)
Publication date: 12/02/2021
Journal article

A Robust Adaptive Unscented Kalman Filter for floating Doppler Wind-LiDAR motion correction
Salcedo, A.; Rocadenbosch, F.; Sospedra, J.
Remote sensing, ISSN: 2072-4292 (JCR Impact Factor-2020: 4.848; Quartil: Q1)
Publication date: 18/10/2021
Journal article

Assessing Obukhov length and friction velocity from floating lidar observations: A data screening and sensitivity computation approach
Araujo da Silva, M. P.; Rocadenbosch, F.; Farré, J.; Salcedo, A.; Gonzalez, D.; Peña, A.
Remote sensing, ISSN: 2072-4292 (JCR Impact Factor-2021: 5.349; Quartil: Q1)
Publication date: 14/03/2022
Journal article

Enhanced dual filter for floating wind lidar motion correction: The impact of wind and initial scan phase models
Salcedo, A.; Rocadenbosch, F.; Sospedra, J.
Remote sensing, ISSN: 2072-4292 (JCR Impact Factor-2021: 5.349; Quartil: Q1)
Publication date: 21/09/2022
Journal article

A unified formulation for the computation of the six-degrees-of-freedom-motion-induced errors in floating Doppler wind LiDARs
Salcedo, A.; Farré, J.; Araujo da Silva, M. P.; Rocadenbosch, F.
Remote sensing, ISSN: 2072-4292 (JCR Impact Factor-2021: 7.4
Publication date: 07/03/2023
Journal article

On the retrieval of surface-layer parameters from lidar wind-profile measurements
Araujo da Silva, M. P.; Salcedo, A.; Rocadenbosch, F.; Peña, A.
Remote sensing, ISSN: 2072-4292 (JCR Impact Factor-2021: 7.4
Publication date: 19/05/2023
Journal article

Motional behavior estimation using simple spectral estimation: application to the off-shore wind lidar
2020 IEEE International Geoscience and Remote Sensing Symposium
Presentation date: 2020
Presentation of work at congresses

Offshore Doppler Wind LiDAR assessment of atmospheric stability
2020 IEEE International Geoscience and Remote Sensing Symposium
Presentation date: 2020
Presentation of work at congresses

Floating Doppler Wind Lidar measurement of wind turbulence: a cluster analysis
2020 IEEE International Geoscience and Remote Sensing Symposium
Presentation date: 2020
Presentation of work at congresses

Horizontal wind speed motion-induced error assessment on a floating Doppler wind lidar
23rd European Geosciences Union General Assembly
Presentation date: 04/2021
Presentation of work at congresses

Floating Doppler Wind Lidar motion simulator for horizontal wind speed measurement error assessment
2021 IEEE International Geoscience and Remote Sensing Symposium
Presentation date: 07/2021
Presentation of work at congresses

Numerical solver for vertical air motion estimation
2022 IEEE International Geoscience and Remote Sensing Symposium
Presentation date: 2022
Presentation of work at congresses

Floating lidar assessment of atmospheric stability in the North Sea
2022 IEEE International Geoscience and Remote Sensing Symposium
Presentation date: 2022
Presentation of work at congresses

On adaptive unscented Kalman filtering for floating Doppler wind-lidar motion correction: Effect of the number of lidar measurement heights
2022 IEEE International Geoscience and Remote Sensing Symposium
Presentation date: 2022
Presentation of work at congresses

Forward method for vertical air motion estimation from frequency modulated continuous wave radar rain measurements
11th European Conference on Radar in Meteorology and Hydrology
Presentation date: 2022
Presentation of work at congresses

Offshore atmospheric stability estimation from floating lidar wind profiles
European Geosciences Union General Assembly 2022
Presentation date: 05/2022
Presentation of work at congresses

Influence of the number of lidar sounding heights on adaptive unscented Kalman filtering for floating Doppler wind-lidar motion correction
European Geosciences Union General Assembly 2022
Presentation date: 05/2022
Presentation of work at congresses

AUTHOR:ARAUJO DA SILVA, MARCOS PAULO
Title:Remote sensing for atmospheric observation and wind energy: over-land boundary layer and off-shore atmospheric stability
Reading date:29/06/2023
Director:ROCADENBOSCH BURILLO, FRANCISCO
Mention:International Mention
RELATED PUBLICATIONS
Clouds’ microphysical properties and their relationship with lightning activity in northeast Brazil
Pereira de Abreu, L.; Andrade, W.; Vieira, E.; Rodrigues, P.; Torres, D.; Araujo da Silva, M. P.
Remote sensing, ISSN: 2072-4292 (JCR Impact Factor-2021: 5.349; Quartil: Q1)
Publication date: 01/11/2021
Journal article

Motivating a synergistic mixing-layer height retrieval method using backscatter lidar returns and microwave-radiometer temperature observations
Araujo da Silva, M. P.; Rocadenbosch, F.; Tanamachi, R.; Saeed, U.
IEEE transactions on geoscience and remote sensing, ISSN: 0196-2892 (JCR Impact Factor-2021: 8.125; Quartil: Q1)
Publication date: 10/03/2022
Journal article

Atmospheric boundary layer height disambiguation using synergistic remote sensing observations: case examples from VORTEX-SE
International Symposium on Remote Sensing
Presentation date: 09/2020
Presentation of work at congresses

Convective boundary-layer height estimation from combined radar and Doppler lidar observations in VORTEX-SE
International Symposium on Remote Sensing
Presentation date: 09/2020
Presentation of work at congresses

Atmospheric boundary layer height disambiguation using synergistic remote sensing observations: Case examples from VORTEX-SE
11th European Conference on Radar in Meteorology and Hydrology
Presentation date: 09/2020
Presentation of work at congresses

Convective boundary layer height estimation from combined radar and Doppler lidar observations in VORTEX-SE
11th European Conference on Radar in Meteorology and Hydrology
Presentation date: 09/2020
Presentation of work at congresses

On stable boundary-layer height estimation using backscatter lidar data and variance processing
23rd European Geosciences Union General Assembly
Presentation date: 03/2021
Presentation of work at congresses

Variance processing for stable boundary-layer height estimation using backscatter lidar data: A discussion
2021 IEEE International Geoscience and Remote Sensing Symposium
Presentation date: 07/2021
Presentation of work at congresses

Synergistic mixed-layer height retrieval method using microwave radiometer and lidar ceilometer observations
2022 IEEE International Geoscience and Remote Sensing Symposium
Presentation date: 2022
Presentation of work at congresses

AUTHOR:MAULE, MASSIMILIANO
Title:Dynamic resource optimization and orchestration techniques for 5G new radio and beyond
Reading date:16/06/2023
Tutor/a:FERRUS FERRE, RAMON ANTONIO
Director:VERIKOUKIS, CHRISTOS
Co-director:VARDAKAS, JOHN
Mention:International Mention
RELATED PUBLICATIONS
A Novel 5G-NR Resources Partitioning Framework Through Real-Time User-Provider Traffic Demand Analysis
Maule, M.; Verikoukis, C.
IEEE systems journal, ISSN: 1932-8184 (JCR Impact Factor-2021: 4.802; Quartil: Q2)
Publication date: 2021
Journal article

5G RAN slicing: dynamic single tenant radio resource orchestration for eMBB traffic within a multi-slice scenario
Maule, M.; Vardakas, J.; Verikoukis, C.
IEEE communications magazine, ISSN: 0163-6804 (JCR Impact Factor-2021: 9.03; Quartil: Q1)
Publication date: 03/2021
Journal article

Multi-service network slicing 5G NR orchestration via tailored HARQ scheme design and hierarchical resource scheduling
Maule, M.; Vardakas, J.; Verikoukis, Christos
IEEE transactions on vehicular technology, ISSN: 0018-9545 (JCR Impact Factor-2021: 11.9
Publication date: 2022
Journal article

Real-time dynamic network slicing for the 5G radio access network
2019 IEEE Global Communications Conference
Presentation date: 11/12/2019
Presentation of work at congresses

Dynamic partitioning of radio resources based on 5G RAN Slicing
2020 IEEE Global Communications Conference
Presentation of work at congresses

Multi-service single tenant 5G fronthaul resource orchestration framework based on network slicing
2022 IEEE Global Communications Conference
Presentation date: 2022
Presentation of work at congresses

AUTHOR:PEREA ROBLES, RAFAEL
Title:Novel transversal topologies and coupled resonator configurations for acoustic wave filters
Reading date:09/06/2023
Director:MATEU MATEU, JORDI
Co-director:COLLADO GOMEZ, JUAN CARLOS
Mention:No mention
RELATED PUBLICATIONS
The Input-output equivalent sources method for fast simulations of distributed nonlinearities in bulk acoustic wave resonators and filters
Collado, J.; Gonzalez, M.; Mateu, J.; Perea-Robles, R.; Aigner, R.
IEEE transactions on ultrasonics ferroelectrics and frequency control, ISSN: 0885-3010 (JCR Impact Factor-2020: 2.725; Quartil: Q2)
Publication date: 2020
Journal article

N-Plexer and N-Band acoustic filters based on transversal configuration
2019 IEEE International Ultrasonics Symposium
Presentation date: 06/10/2019
Presentation of work at congresses

Nonlinear performance on acoustic transversal filters
IUS 2020- IEEE International Ultrasonics Symposium
Presentation date: 10/09/2020
Presentation of work at congresses

Synthesis of 2-CRF section filter without external elements
2021 IEEE MTT-S International Microwave Filter Workshop
Presentation date: 2021
Presentation of work at congresses

Wideband transversal acoustic wave filters. Application to connected cars
50th European Microwave Conference
Presentation date: 13/06/2020
Presentation of work at congresses

Synthesis procedure for ladder acoustic wave filters starting in series resonator
2021 IEEE International Ultrasonics Symposium
Presentation date: 11/09/2021
Presentation of work at congresses

Out of band improved performance into a measured 5G N77 band transversal filter
2021 IEEE International Ultrasonics Symposium
Presentation date: 11/09/2021
Presentation of work at congresses

AUTHOR:SAFARI, POOYAN
Title:Unsupervised and attention approaches for deep learning speaker recognition
Reading date:19/05/2023
Director:HERNANDO PERICAS, FRANCISCO JAVIER
Mention:No mention
RELATED PUBLICATIONS
Deep learning in speaker recognition
Safari, P.; Ghahabi, O.; Hernando, J.
Springer
Publication date: 01/01/2020
Book chapter

Restricted Boltzmann machine vectors for speaker clustering and tracking tasks in TV broadcast shows
Khan, U.; Safari, P.; Hernando, J.
Applied sciences (Basel), ISSN: 2076-3417 (JCR Impact Factor-2019: 2.474; Quartil: Q2)
Publication date: 09/07/2019
Journal article

Self Attention Networks in Speaker Recognition
EURASIP Journal on Audio Speech and Music Processing, ISSN: 1687-4722 (JCR Impact Factor-2021: 2.114; Quartil: Q2)
Journal article

Deep neural network feature classification for speaker verification
3rd RTTH Summer School on Speech Technology
Presentation date: 07/07/2015
Presentation of work at congresses

Feature classification by means of Deep Belief Networks for speaker recognition
23rd European Signal Processing Conference
Presentation date: 03/09/2015
Presentation of work at congresses

From features to speaker vectors by means of restricted Boltzmann machine adaptation
ODYSSEY 2016 - The Speaker and Language Recognition Workshop
Presentation date: 24/06/2016
Presentation of work at congresses

Speaker recognition by means of restricted Boltzmann machine adaptation
XXXI Simposium Nacional de la Unión Científica Internacional de Radio
Presentation date: 06/09/2016
Presentation of work at congresses

High performance supervised time-delay estimation using neural networks
42nd IEEE International Conference on Acoustics, Speech and Signal Processing
Presentation date: 07/03/2017
Presentation of work at congresses

A novel approach to real-time range estimation of underwater acoustic sources using supervised machine learning
OCEANS'17 MTS/IEEE Aberdeen
Presentation date: 20/06/2017
Presentation of work at congresses

Machine and deep learning approaches to localization and range estimation of underwater acoustic sources
3rd Acoustics in Underwater Geosciences Symposium
Presentation date: 26/07/2017
Presentation of work at congresses

Artificial intelligence tools for oceanography and conservation
Ludwig Houegnigan
Presentation date: 20/09/2017
Presentation of work at congresses

Restricted Boltzmann Machine vectors for speaker clustering
International Conference on Advances in Speech and Language Technologies for Iberian Languages
Presentation date: 21/11/2018
Presentation of work at congresses

Self multi-head attention for speaker recognition
20th Annual Conference of the International Speech Communication Association
Presentation date: 16/09/2019
Presentation of work at congresses

Self-attention encoding and pooling for speaker recognition
21st Annual Conference of the International Speech Communication Association
Presentation date: 26/10/2020
Presentation of work at congresses

Double multi-head attention for speaker verification
2021 IEEE International Conference on Acoustics, Speech, and Signal Processing
Presentation date: 06/2021
Presentation of work at congresses

AUTHOR:GUERRA GÓMEZ, ROLANDO
Title:Radio access network optimization with proactive resource management for 5G and beyond
Reading date:19/05/2023
Director:RUIZ BOQUE, SILVIA
Mention:No mention
RELATED PUBLICATIONS
Machine learning adaptive computational capacity prediction for dynamic resource management in C-RAN
Guerra, R.; Ruiz, S.; Garcia-Lozano, M.; Olmos, J.
IEEE access, ISSN: 2169-3536 (JCR Impact Factor-2020: 3.367; Quartil: Q2)
Publication date: 23/05/2020
Journal article

Energy and cost footprint reduction for 5G and beyond with flexible radio access network
Guerra, R.; Ruiz, S.; Garcia-Lozano, M.; Saeed, U.
IEEE access, ISSN: 2169-3536 (JCR Impact Factor-2021: 3.476; Quartil: Q2)
Publication date: 15/10/2021
Journal article

Using COST IC1004 Vienna scenario to test C-RAN optimisation algorithms
Proceedings of the 9th technical meeting of CA15104 IRACON.
Presentation date: 16/01/2019
Presentation of work at congresses

A weighted-sum Multi-Objective optimization for dynamic resource allocation with QoS constraints in realistic C-RAN
Proceedings of the 10th technical meeting of CA15104 IRACON
Presentation date: 27/05/2019
Presentation of work at congresses

Predicting required computational capacity in C-RAN networks by the use of different machine learning strategies
Proceedings of the 11th technical meeting of CA15104 IRACON
Presentation date: 04/09/2019
Presentation of work at congresses

Dynamic resource allocation in C-RAN with real-time traffic and realistic scenarios
15th International Conference on Wireless and Mobile Computing, Networking and Communications
Presentation date: 21/10/2019
Presentation of work at congresses

Machine-learning based traffic forecasting for resource management in C-RAN
2020 European Conference on Networks and Communications
Presentation date: 16/06/2020
Presentation of work at congresses

Flexible radio access network optimization with cell coordination
1st INTERACT: Intelligence-Enabling Radio Communications for Seamless Inclusive Interactions
Presentation date: 10/02/2022
Presentation of work at congresses

AUTHOR:MANSO FERNÁNDEZ ARGÜELLES, CARLOS AGUSTÍN
Title:Cloud-native orchestration and automation for disaggregated networks
Reading date:18/05/2023
Tutor/a:JUNYENT GIRALT, GABRIEL
Director:MUÑOZ GONZALEZ, RAUL
Co-director:VILALTA CAÑELLAS, RICARD
Mention:No mention
RELATED PUBLICATIONS
TAPI-enabled SDN control for partially disaggregated multi-domain (OLS) and multi-layer (WDM over SDM) optical networks [Invited]
Manso, C.; Muñoz, R.; Yoshikane, N.; Casellas, R.; Vilalta Cañellas, Ricard; Martínez, R.; Tsuritani, T.; Morita, I.
Journal of optical communications and networking, ISSN: 1943-0620 (JCR Impact Factor-2021: 4.508; Quartil: Q1)
Publication date: 01/01/2021
Journal article

Packet Optical Transport Network Slicing with Hard and Soft Isolation
Barguil, S.; López, V.; Contreras-Murillo, L.; González-de-Dios, O.; Alcalá, A.; Manso, C.; Alemany, P.; Casellas Regi, Ramon; Martínez, R.; González-Pérez, D.; Liu, X.; Pulido, J.; Fernández-Palacios, J.; Muñoz, R.; Vilalta Cañellas, Ricard
Applied sciences (Basel), ISSN: 2076-3417 (JCR Impact Factor-2021: 2.838; Quartil: Q2)
Publication date: 05/07/2021
Journal article

End-to-end SDN/NFV orchestration of multi-domain transport networks and distributed computing infrastructure for beyond-5G services
Manso, C.; Alemany, P.; Vilalta Cañellas, Ricard; Muñoz, R.; Casellas, R.; Martínez, R.
IEICE transactions on communications, ISSN: 0916-8516 (JCR Impact Factor-2021: 0.598; Quartil: Q4)
Publication date: 09/2021
Journal article

Scalability analysis of machine learning QoT estimators for a cloud-native SDN controller on a WDM over SDM network
Manso, C.; Vilalta Cañellas, Ricard; Muñoz, R.; Yoshikane, N.; Casellas Regi, Ramon; Martínez, R.; Wang, C.; Balasis, F.; Tsuritani, T.; Morita, I.
Journal of optical communications and networking, ISSN: 1943-0620 (JCR Impact Factor-2020: 10.9
Publication date: 01/04/2022
Journal article

Cloud-native SDN controller based on micro-services for transport networks
NetSoft 2020 - 6th IEEE Conference on Network Softwarization
Presentation date: 02/07/2020
Presentation of work at congresses

Telemetry-enabled cloud-native transport SDN controller for real-time monitoring of optical transponders using gNMI
46th European Conference on Optical Communication
Presentation date: 12/2020
Presentation of work at congresses

SDN/NFV Control and orchestration of dynamic optical beamforming services for beyond 5G fronthaul networks
46th European Conference on Optical Communication
Presentation date: 12/2020
Presentation of work at congresses

Scalable Physical Layer Security Components for Microservice-Based Optical SDN Controllers
47th European Conference on Optical Communication
Presentation date: 09/2021
Presentation of work at congresses

First Demonstration of Dynamic Deployment of SDN-enabled WDM Virtual Network Topologies (VNTs) over SDM networks
47th European Conference on Optical Communication
Presentation date: 09/2021
Presentation of work at congresses

First Scalable Machine Learning Based Architecture for Cloud-native Transport SDN Controller
2021 Optical Fiber Communications Conference and Exhibition
Presentation date: 06/2021
Presentation of work at congresses

Scalable for Cloud-native Transport SDN Controller Using GNPy and Machine Learning techniques for QoT estimation
2021 Optical Fiber Communications Conference and Exhibition
Presentation date: 07/2021
Presentation of work at congresses

Experimental Demonstration of End-to-end NFV Orchestration on Top of the ADRENALINE Testbed
NetSoft - NetSoft 2022 - 8th IEEE Conference on Network Softwarization
Presentation date: 06/2022
Presentation of work at congresses

Microservice-based unsupervised anomaly detection loop for optical networks
2022 Optical Fiber Communications Conference and Exhibition
Presentation date: 03/2022
Presentation of work at congresses

Dynamic Reconfiguration of WDM Virtual Network Topology over SDM Networks for Spatial Channel Failure Recovery with gRPC Telemetry
2022 Optical Fiber Communications Conference and Exhibition
Presentation date: 03/2022
Presentation of work at congresses

AUTHOR:NICOLÁS ÁLVAREZ, JORGE
Title:Interferometric Orbit Determination for Geosynchronous Earth Sensing Missions
Reading date:16/05/2023
Director:BROQUETAS IBARS, ANTONI
Co-director:AGUASCA SOLE, ALBERTO
Mention:No mention
RELATED PUBLICATIONS
Interferometric orbit determination system for geosynchronous SAR missions: experimental proof of concept
Nicolas, J.; Carreño-Megias, X.; Ferrer, E.; Albert, M.; Rodriguez, J.; Aguasca, A.; Broquetas, A.
Remote sensing, ISSN: 2072-4292 (JCR Impact Factor-2021: 7.4
Publication date: 01/10/2022
Journal article

Interferometry based orbit observation for geosynchronous synthetic aperture radar (GEOSAR) missions
70th International Astronautical Congress
Presentation date: 24/10/2019
Presentation of work at congresses

Orbit determination for hydroterra mission. An interferometric approach
6th Workshop on Advanced RF Sensors and Remote Sensing Instruments
Presentation date: 11/11/2019
Presentation of work at congresses

Precise orbit observation techniques for geosynchronous synthetic aperture radar (GEOSAR)
2019 IEEE International Geoscience and Remote Sensing Symposium
Presentation date: 07/2019
Presentation of work at congresses

Experimental Precise Orbit Determination for GEOSAR Missions Based on Compact Interferometry
71th International Astronautical Congress
Presentation date: 12/10/2020
Presentation of work at congresses

Station-keeping manoeuvre detection for autonomous precise interferometric tracking of geosynchronous gatellites
2021 IEEE International Geoscience and Remote Sensing Symposium
Presentation date: 11/07/2021
Presentation of work at congresses

Interferometric Orbital Tracking of SAR Missions with Large Processing Gain
13th European Conference on Synthetic Aperture Radar
Presentation date: 29/03/2021
Presentation of work at congresses

Orbit error impacts and autofocus applied to Geosynchronous SAR (GEOSAR)
European Conference on Synthetic Aperture Radar
Presentation date: 29/03/2021
Presentation of work at congresses

Station-Keeping Manoeuvre Detection for Autonomous Precise Interferometric Tracking of Geosynchronous Satellites
IEEE International Geoscience and Remote Sensing Symposium
Presentation date: 14/07/2021
Presentation of work at congresses

Simultaneous interferometric tracking of a multi-satellite geosynchronous constellation for GEOSAR missions
72nd International Astronautical Congress
Presentation date: 25/10/2021
Presentation of work at congresses

Interferometric Baseline Enlargement with Passive Reflectors for Geosynchronous Orbit Determination Precision Enhancement
73rd International Astronautical Congress
Presentation date: 19/09/2022
Presentation of work at congresses

AUTHOR:ALEMANY PRATS, POL
Title:Quality of service, security and trustworthiness for network slices
Reading date:23/03/2023
Tutor/a:JUNYENT GIRALT, GABRIEL
Director:VILALTA CAÑELLAS, RICARD
Co-director:MUÑOZ GONZALEZ, RAUL
Mention:No mention
RELATED PUBLICATIONS
A KPI-enabled NFV MANO architecture for network slicing with QoS
Alemany, P.; Román, A.; Vilalta Cañellas, Ricard; Pol, A.; Bonnet, J.; Kapassa, E.; Touloupou, M.; Kyriazis, D.; Karkazis, P.; Trakadas, P.; Martrat, J.; Casellas Regi, Ramon; Martínez, R.; Muñoz, R.
IEEE communications magazine, ISSN: 0163-6804 (JCR Impact Factor-2021: 9.03; Quartil: Q1)
Publication date: 07/2021
Journal article

Evaluation of the abstraction of optical topology models in blockchain-based data center interconnection
Alemany, P.; Vilalta Cañellas, Ricard; Muñoz, R.; Casellas Regi, Ramon; Martínez, R.
Journal of optical communications and networking, ISSN: 1943-0620 (JCR Impact Factor-2020: 10.9
Publication date: 01/04/2022
Journal article

Management and enforcement of secured E2E network slices across transport domains
Alemany, P.; Molina, A.; Dangerville, C.; Asensio, R.; Ayed, D.; Muñoz, R.; Casellas Regi, Ramon; Martínez, R.; Skarmeta, A.; Vilalta Cañellas, Ricard
Optical fiber technology, ISSN: 1068-5200 (JCR Impact Factor-2021: 4.8
Publication date: 10/2022
Journal article

Peer-to-Peer blockchain-based NFV service platform for End-to-End network slice orchestration across multiple NFVI domains
2020 - IEEE 3rd 5G World Forum
Presentation date: 10/09/2020
Presentation of work at congresses

Transport network slices with security service level agreements
22nd International Conference on Transparent Optical Networks
Presentation date: 20/07/2020
Presentation of work at congresses

Comparison of Real-Time Communications Service KPI in Edge and Cloud Domains Through Multi-Domain Transport Networks
24th International Conference on Optical Network Design and Modeling
Presentation date: 20/05/2020
Presentation of work at congresses

Hybrid Network Slicing: Composing Network Slices based on VNFs, CNFs Network Services
NetSoft 2020 - 6th IEEE International Conference on Network Softwarization
Presentation date: 01/07/2020
Presentation of work at congresses

INSPIRE-5Gplus: Intelligent security and pervasive trust for 5G and beyond networks
15th International Conference on Availability, Reliability and Security
Presentation of work at congresses

5GCroCo Barcelona trial site for cross-border anticipated cooperative collision avoidance
2020 European Conference on Networks and Communications
Presentation date: 16/06/2020
Presentation of work at congresses

Managing network slicing resources using blockchain in a multi-domain software defined optical network scenario
46th European Conference on Optical Communication
Presentation date: 08/12/2020
Presentation of work at congresses

Applying security service level agreements in V2X network slices
IEEE Conference on Network Function Virtualization and Software Defined Networks 2020
Presentation date: 11/2020
Presentation of work at congresses

Multi-layer Transport Network Slicing with Hard and Soft Isolation
2021 Optical Fiber Communications Conference and Exhibition
Presentation date: 08/06/2021
Presentation of work at congresses

End-to-End Network Slice Stitching using Blockchain-based Peer-to-Peer Network Slice Managers and Transport SDN Controllers
2021 Optical Fiber Communications Conference and Exhibition
Presentation date: 08/06/2021
Presentation of work at congresses

Blockchain-Based Connectivity Provisioning in Multiple Transport SDN Domains
25th International Conference on Optical Network Design and Modeling
Presentation date: 29/06/2021
Presentation of work at congresses

5GCroCo Barcelona trial site results: orchestration KPIs measurements and evaluation
Joint European Conference on Networks and Communications and 6G Summit 2022
Presentation date: 06/2022
Presentation of work at congresses

DLT-based End-to-end Inter-domain Transport Network Slice with SLA Management Using Cloud-based SDN Controllers: Demo Session
2022 IEEE Conference on Network Function Virtualization and Software Defined Networks
Presentation of work at congresses

AUTHOR:MOSELLA MONTORO, ALBERT
Title:Graph convolutional neural networks for 3D data analysis
Reading date:22/02/2023
Director:RUIZ HIDALGO, JAVIER
Mention:No mention
RELATED PUBLICATIONS
2D–3D geometric fusion network using multi-neighbourhood graph convolution for RGB-D indoor scene classification
Mosella, A.; Ruiz-Hidalgo, J.
Information fusion, ISSN: 1566-2535 (JCR Impact Factor-2021: 17.564; Quartil: Q1)
Publication date: 12/2021
Journal article

Residual attention graph convolutional network for geometric 3D scene classification
IEEE International Conference on Computer Vision 2019
Presentation date: 01/11/2019
Presentation of work at congresses

SkinningNet: two-stream graph convolutional neural network for skinning prediction of synthetic characters
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Presentation date: 06/2022
Presentation of work at congresses

AUTHOR:GONZÁLEZ RODRÍGUEZ, MARTA
Title:Nonlinear modeling and characterization of SAW devices for communications systems
Reading date:10/02/2023
Director:COLLADO GOMEZ, JUAN CARLOS
Director:GONZALEZ ARBESU, JOSE MARIA
Mention:No mention
RELATED PUBLICATIONS
Tone injection-based cancellation technique for nonlinear distortion reduction of modulated signals in BAW resonators
Gonzalez, M.; Collado, J.; Gonzalez, J.; Mateu, J.; Montoro, G.; Gilabert, Pere L.
Microwave and optical technology letters, ISSN: 0895-2477 (JCR Impact Factor-2020: 1.392; Quartil: Q4)
Publication date: 01/01/2020
Journal article

Distributed nonlinear model and fast analysis for in-band IMD3 prediction of surface acoustic wave resonators
Gonzalez, M.; Collado, J.; Mateu, J.; Gonzalez, J.; Huebner, S.
IEEE transactions on ultrasonics, ferroelectrics, and frequency control, ISSN: 1525-8955 (JCR Impact Factor-2020: 2.725; Quartil: Q2)
Publication date: 01/01/2022
Journal article

Fast simulation method of distributed nonlinearities in surface acoustic wave resonators
IUS 2020- IEEE International Ultrasonics Symposium
Presentation date: 09/09/2020
Presentation of work at congresses

Method to measure reflection coefficient under CW high-power signals in SAW resonators
2021 IEEE International Ultrasonics Symposium
Presentation date: 11/09/2021
Presentation of work at congresses

Application of the input-output equivalent sources method for the simulation of nonlinearities in TC-SAW resonators and filters
1st IEEE T-MTTS International Conference on Microwave Acoustics and Mechanics
Presentation date: 19/07/2022
Presentation of work at congresses

AUTHOR:BORRÀS PINO, JORDI
Title:Opportunistic communications in large uncoordinated networks
Reading date:25/01/2023
Director:VAZQUEZ GRAU, GREGORIO
Mention:No mention
RELATED PUBLICATIONS
Dimension spreading for coherent opportunistic communications
51st Asilomar Conference on Signal, Systems and Computers
Presentation date: 31/10/2017
Presentation of work at congresses

Uncoordinated Space-Frequency Pilot Design for Multi-Antenna Wideband Opportunistic Communications
19th IEEE International Workshop on Signal Processing Advances in Wireless Communications
Presentation date: 28/06/2018
Presentation of work at congresses

Decentralized shaping for pilot generation and detection in opportunistic communications
2019 IEEE International Conference on Communications
Presentation date: 23/05/2019
Presentation of work at congresses

Distributed feedback-aided subspace concurrent opportunistic communications
IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications
Presentation date: 04/07/2019
Presentation of work at congresses

Low-complexity switching network design for hybrid precoding in mmWave MIMO systems
27th European Signal Processing Conference
Presentation date: 04/09/2019
Presentation of work at congresses

Interference mitigation under degrees-of-freedom sensing uncertainties in opportunistic transmission
2019 IEEE Global Communications Conference
Presentation date: 11/12/2019
Presentation of work at congresses

Array-geometry invariant signaling for MISO feedforward opportunistic communications
21st IEEE International Workshop on Signal Processing Advances in Wireless Communications
Presentation date: 29/05/2020
Presentation of work at congresses

Energy-efficient analog beamforming with short packets in millimeter-wave MIMO systems
54th Asilomar Conference on Signals, Systems, and Computers
Presentation date: 02/11/2020
Presentation of work at congresses

AUTHOR:ZHOU, IVAN
Title:Technologies for injection molded antennas for mass production
Reading date:19/01/2023
Director:ROMEU ROBERT, JORDI
Mention:Industrial Doctorate Mention
RELATED PUBLICATIONS
Technology assessment of aperture coupled slot antenna array in Groove Gapwaveguide for 5G millimeter wave applications
Zhou, I.; Jofre, L.; Romeu, J.
IEEE access, ISSN: 2169-3536 (JCR Impact Factor-2021: 3.476; Quartil: Q2)
Publication date: 2021
Journal article

Reconfigurable dual-polarized beam-steering broadband antenna using a crossed-strips geometry
Ramirez, G.; Zhou, I.; Blanch, S.; Towfiq, A.; Cetiner, B.; Romeu, J.; Jofre, L.
IEEE antennas and wireless propagation letters, ISSN: 1548-5757 (JCR Impact Factor-2021: 3.825; Quartil: Q2)
Publication date: 08/2021
Journal article

Microstrip-fed 3D-printed H-sectorial horn phased array
Zhou, I.; Pradell, L.; López-Villegas, J.; Vidal, N.; Albert, M.; Jofre, L.; Romeu, J.
Sensors (Basel), ISSN: 1424-8220 (JCR Impact Factor-2021: 0.803; Quartil: Q1)
Publication date: 16/07/2022
Journal article

AUTHOR:ZARRINKHAT, FAEZEH
Title:Bio-sensing applications of electromagnetic scattering from spheroidal objects
Reading date:20/12/2022
Director:ROMEU ROBERT, JORDI
Co-director:RIUS CASALS, JUAN-MANUEL
Mention:International Mention
RELATED PUBLICATIONS
Experimental verification of dielectric models with a capacitive wheatstone bridge biosensor for living cells: E. coli
Zarrinkhat, F.; Jofre, M.; Jofre, L.; Rius, J.; Romeu, J.
Sensors (Basel), ISSN: 1424-8220 (JCR Impact Factor-2020: 3.576; Quartil: Q1)
Publication date: 23/03/2022
Journal article

Calibration alignment sensitivity in corneal terahertz imaging
Zarrinkhat, F.; Baggio, M.; Lamberg, J.; Tamminen, A.; Nefedova, I.; Ala-Laurinaho, J.; Khaled, E.; Rius, J.; Romeu, J.; Taylor, Z.
Sensors (Basel), ISSN: 1424-8220 (JCR Impact Factor-2020: 3.576; Quartil: Q1)
Publication date: 22/04/2022
Journal article

Vector spherical harmonic analysis and experimental validation of spherical shells illuminated with broadband, millimeter wave Gaussian beams: applications to corneal sensing
Zarrinkhat, F.; Lamberg, J.; Tamminen, A.; Baggio, M.; Nefedova, I.; Ala-Laurinaho, J.; Khaled, E.; Romeu, J.; Rius, J.; Taylor, Z.
Biomedical optics express, ISSN: 2156-7085 (JCR Impact Factor-2020: 7.2
Publication date: 03/06/2022
Journal article

Efficient generalized mie theory analysis of nano silver dimers for optical field enhancement in the plasmonic photoconductive thz antenna
Nanophotonics and Micro/Nano Optics International Conference 2018
Presentation date: 01/10/2018
Presentation of work at congresses

Electromagnetic monitoring of biological microorganisms
13th European Conference on Antennas and Propagation
Presentation date: 04/2019
Presentation of work at congresses

Fourier analysis of submillimeter-wave scattering from the human cornea
15th European Conference on Antennas and Propagation
Presentation date: 03/2021
Presentation of work at congresses

Investigation of radial top-hat electric field distributions for corneal reflectometry using modified Fourier optics method
46th International Conference on Infrared, Millimeter, and Terahertz Waves
Presentation date: 2021
Presentation of work at congresses

Experimental exploration of longitudinal modes in spherical shells at 220 GHz – 330 GHz: applications to corneal sensing
Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference 2022
Presentation date: 22/06/2021
Presentation of work at congresses

Optical path length measurement of spherical dielectric shells with axicon-generated Bessel beams; applications to corneal sensing
46th International Conference on Infrared, Millimeter, and Terahertz Waves
Presentation date: 29/08/2021
Presentation of work at congresses

AUTHOR:KRKOTIC, PATRICK
Title:Evaluation of the Surface Impedance of ReBCO Coated Conductors and Requirements for Their Use as Beam Screen Materials for the FCC-hh
Reading date:25/11/2022
Director:O'CALLAGHAN CASTELLA, JUAN MANUEL
Co-director:PONT, MONTSERRAT
Mention:No mention
RELATED PUBLICATIONS
High-temperature superconductor coating for coupling impedance reduction in the FCC-hh beam screen
Krkotic, P.; Niedermayer, U.; Boine-Frankenheim, O.
Nuclear instruments and methods in physics research. Section A, accelerators SP, ISSN: 0168-9002 (JCR Impact Factor-2018: 1.433; Quartil: Q2)
Publication date: 01/07/2018
Journal article

FCC-ee: the Lepton Collider: future circular collider conceptual design report volume 2
O'callaghan, J.; Krkotic, P.
European physical journal. Special topics, ISSN: 1951-6355 (JCR Impact Factor-2019: 1.668; Quartil: Q3)
Publication date: 01/06/2019
Journal article

FCC physics opportunities: future circular collider conceptual design report volume 1
Abada, A.; Abbrescia, M.; AbdusSalam, S.; O'callaghan, J.; Krkotic, P.
European physical journal C, ISSN: 1434-6044 (JCR Impact Factor-2019: 4.389; Quartil: Q1)
Publication date: 05/06/2019
Journal article

FCC-hh: the hadron collider: future circular collider conceptual design report volume 3
Abada, A.; Abbrescia, M.; AbdusSalam, S.; O'callaghan, J.; Krkotic, P.
European physical journal. Special topics, ISSN: 1951-6401 (JCR Impact Factor-2021: 2.891; Quartil: Q2)
Publication date: 01/07/2019
Journal article

HE-LHC: the High-Energy Large Hadron Collider: Future Circular Collider Conceptual Design Report Volume 4
Abada, A.; Abbrescia, M.; AbdusSalam, S.; O'callaghan, J.; Krkotic, P.
European physical journal. Special topics, ISSN: 1951-6401 (JCR Impact Factor-2019: 0.581; Quartil: Q2)
Publication date: 01/07/2019
Journal article

Coated conductor technology for the beamscreen chamber of future high energy circular colliders
Puig, T.; Krkotic, P.; Romanov, A.; O'callaghan, J.; Gutiérrez, J.
Superconductor science and technology, ISSN: 0953-2048 (JCR Impact Factor-2019: 3.067; Quartil: Q2)
Publication date: 01/09/2019
Journal article

Contactless electrical resistance of 2D materials using a rutile resonator
Arcos, D.; Krkotic, P.; O'callaghan, J.; Pont, M.; Ametller, L.; Ferrer-Anglada, N.
Physica status solidi B. Basic solid state physics, ISSN: 0370-1972 (JCR Impact Factor-2019: 1.481; Quartil: Q3)
Publication date: 12/12/2019
Journal article

High frequency response of thick REBCO coated conductors in the framework of the FCC study
Romanov, A.; Krkotic, P.; Telles, G.; O'callaghan, J.; Pont, M.; Pérez, F.; Granados, X.; Calatroni, S.; Puig, T.; Gutiérrez, J.
Scientific reports, ISSN: 2045-2322 (JCR Impact Factor-2020: 4.38; Quartil: Q1)
Publication date: 23/07/2020
Journal article

Characterisation of copper and stainless steel surfaces treated with laser ablation surface engineering
Hannah, A.; Krkotic, P.; Valizadeh, R.; Malyshev, O.B.; Mutch, J.; Whitehead, D.; Pont, M.; O'callaghan, J.; Dhanak, V.
Vacuum, ISSN: 0042-207X (JCR Impact Factor-2021: 4.11; Quartil: Q2)
Publication date: 07/2021
Journal article

Algorithm for resonator parameter extraction from symmetrical and asymmetrical transmission responses
Krkotic, P.; Gallardo, Q.; Tagdulang, N.; Pont Montaner, Montserrat; O'callaghan, J.
IEEE transactions on microwave theory and techniques, ISSN: 0018-9480 (JCR Impact Factor-2021: 4.381; Quartil: Q2)
Publication date: 08/2021
Journal article

Evaluation of the nonlinear surface resistance of REBCO coated conductors for their use in the FCC-hh beam screen
Krkotic, P.; Romanov, A.; Tagdulang, N.; Telles, G.; Puig, T.; Gutiérrez, J.; Granados, X.; Calatroni, S.; Pérez, F.; Pont Montaner, Montserrat; O'callaghan, J.
Superconductor science and technology, ISSN: 0953-2048 (JCR Impact Factor-2020: 5.7
Publication date: 07/01/2022
Journal article

RF performance of high temperature superconducting coated conductor (HTS-CC) as beam screen for FCC-hh
4th International Future Circular Collider Conference
Presentation date: 10/04/2018
Presentation of work at congresses

HTS REBaCuO coated conductors for the FCC-hh beam screen: performance under photon irradiation at the ALBA Synchrotron Light Source
5th International Future Circular Collider Conference
Presentation date: 25/06/2019
Presentation of work at congresses

RF characterisation of HTS-CC tapes as alternative coating for the FCC-hh beam screen
5th International Future Circular Collider Conference
Presentation date: 26/06/2019
Presentation of work at congresses

RF characterisation of new coatings for future circular collider beam screens
12th International Particle Accelerator Conference
Presentation date: 25/05/2021
Presentation of work at congresses

Accurate determination of dielectric properties in small, high-permittivity dielectric cylinders
52nd European Microwave Conference
Presentation date: 27/09/2022
Presentation of work at congresses

AUTHOR:INDIA MASSANA, MIQUEL ANGEL
Title:Deep learning methods for speaker verification and diarization
Reading date:25/11/2022
Director:HERNANDO PERICAS, FRANCISCO JAVIER
Mention:No mention
RELATED PUBLICATIONS
Language modelling for speaker diarization in telephonic interviews
India, M.; Hernando, J.; Fonollosa, José A. R.
Computer speech and language, ISSN: 0885-2308 (JCR Impact Factor-2021: 0.769; Quartil: Q2)
Publication date: 03/2023
Journal article

UPC system for the 2016 MediaEval multimodal person discovery in broadcast TV task
2016 Multimedia Benchmark Workshop
Presentation date: 19/10/2016
Presentation of work at congresses

Towards large scale multimedia indexing: a case study on person discovery in broadcast news
15th International Workshop on Content-Based Multimedia Indexing
Presentation date: 06/2017
Presentation of work at congresses

LSTM neural network-based speaker segmentation using acoustic and language modelling
18th Annual Conference of the International Speech Communication Association
Presentation date: 23/08/2017
Presentation of work at congresses

UPC multimodal speaker diarization system for the 2018 Albayzin challenge
International Conference on Advances in Speech and Language Technologies for Iberian Languages 2018
Presentation date: 22/11/2018
Presentation of work at congresses

Auto-encoding nearest neighbor i-vectors for speaker verification
20th Annual Conference of the International Speech Communication Association
Presentation date: 16/09/2019
Presentation of work at congresses

I-vector transformation using k-nearest neighbors for speaker verification
45th IEEE International Conference on Acoustics, Speech, and Signal Processing
Presentation date: 08/05/2020
Presentation of work at congresses

AUTHOR:SALGUEIRO ROMERO, LUIS FERNANDO
Title:Super-resolution and semantic segmentation of remote sensing images using deep learning techniques
Reading date:27/10/2022
Director:VILAPLANA BESLER, VERONICA
Co-director:MARCELLO RUIZ, JAVIER
Mention:No mention
RELATED PUBLICATIONS
Super-resolution of Sensinel-2 imagery using generative adversarial networks
Salgueiro, L.; Marcello, J.; Vilaplana, V.
Remote sensing, ISSN: 2072-4292 (JCR Impact Factor-2020: 4.848; Quartil: Q1)
Publication date: 28/07/2020
Journal article

A dual network for super-resolution and semantic segmentation of sentinel-2 imagery
Abadal, S.; Salgueiro, L.; Marcello Ruiz, Javier; Vilaplana, V.
Remote sensing, ISSN: 2072-4292 (JCR Impact Factor-2021: 5.349; Quartil: Q1)
Publication date: 12/11/2021
Journal article

Single-image super-resolution of sentinel-2 low resolution bands with residual dense convolutional neural networks
Salgueiro, L.; Marcello Ruiz, Javier; Vilaplana, V.
Remote sensing, ISSN: 2072-4292 (JCR Impact Factor-2021: 5.349; Quartil: Q1)
Publication date: 09/12/2021
Journal article

Comparative study of upsampling methods for super-resolution in remote sensing
12th International Conference on Machine Vision
Presentation date: 17/11/2019
Presentation of work at congresses

Weakly supervised semantic segmentation for remote sensing hyperspectral imaging
45th IEEE International Conference on Acoustics, Speech, and Signal Processing
Presentation date: 06/05/2020
Presentation of work at congresses

AUTHOR:BASTA, CHRISTINE RAOUF SAAD
Title:Gender bias in natural language processing
Reading date:14/10/2022
Tutor/a:RODRIGUEZ FONOLLOSA, JOSE ADRIAN
Director:RUIZ COSTA-JUSSA, MARTA
Mention:International Mention
RELATED PUBLICATIONS
Extensive study on the underlying gender bias in contextualized word embeddings
Basta, C.; Costa-jussà, Marta R.; Casas, N.
Neural computing and applications, ISSN: 0941-0643 (JCR Impact Factor-2021: 5.102; Quartil: Q2)
Publication date: 04/2021
Journal article

Impact of gender debiased word embeddings in language modeling
Basta, C.; Costa-jussà, Marta R.
Lecture notes in computer science, ISSN: 0302-9743 (JCR Impact Factor-2020: 0.0
Publication date: 2023
Journal article

Evaluating the underlying gender bias in contextualized word embeddings
1st ACL Workshop on Gender Bias in Natural Language Processing
Presentation date: 01/08/2019
Presentation of work at congresses

The TALP-UPC machine translation systems for WMT19 news translation task: pivoting techniques for low resource MT
Fourth Conference on Machine Translation
Presentation date: 02/08/2019
Presentation of work at congresses

Towards mitigating gender bias in a decoder-based neural machine translation model by adding contextual information
4th Widening Natural Language Processing Workshop
Presentation date: 04/07/2020
Presentation of work at congresses

Impact of COVID-19 in Natural Language Processing Publications: a Disaggregated Study in Gender, Contribution and Experience,
EACL First Workshop on Language Technology for Equality, Diversity, Inclusion
Presentation of work at congresses

The TALP-UPC participation in WMT21 news translation task: an mBART-based NMT approach
Sixth Conference on Machine Translation
Presentation date: 11/11/2021
Presentation of work at congresses

Multi-Task Learning for Improving Gender Accuracy in Neural Machine Translation
ICON: 18th International Conference on Natural Language Processing
Presentation date: 15/12/2021
Presentation of work at congresses

Interpreting Gender Bias in Neural Machine Translation: Multilingual Architecture Matters
36th AAAI Conference on Artificial Intelligence
Presentation date: 28/02/2022
Presentation of work at congresses

Evaluating gender bias in speech translation
13th edition of Language Resources and Evaluation Conference
Presentation date: 22/06/2022
Presentation of work at congresses

AUTHOR:NUÑO GÓMEZ, DANIEL-JUAN
Title:Photonic circuits for wireless applications in the microwave, millimeter wave and terahertz bands
Reading date:23/09/2022
Director:SANTOS BLANCO, MARÍA CONCEPCIÓN
Mention:No mention
RELATED PUBLICATIONS
High-frequency contactless characterization of 2D materials. Graphene, WS2
Arcos, D.; Nuño, D.; Santos, M.; Ametller, L.; Ferrer-Anglada, N.
Physica status solidi B. Basic solid state physics, ISSN: 0370-1972 (JCR Impact Factor-2020: 1.71; Quartil: Q3)
Publication date: 12/2020
Journal article

Optical phase effects in reconfigurable microwave photonic filters with multiple wavelength input
Nuño, D.; Santos, M.
Optics and laser technology, ISSN: 0030-3992 (JCR Impact Factor-2021: 4.939; Quartil: Q1)
Publication date: 11/2021
Journal article

Characterization of THz radiation by collimated wavefront aperture raster scanning
XXXV Simposium Nacional de la Unión Científica Internacional de Radio
Presentation date: 02/09/2020
Presentation of work at congresses

Optical beam steering network with multiband capability
XXXV Simposium Nacional de la Unión Científica Internacional de Radio
Presentation date: 02/09/2020
Presentation of work at congresses

AUTHOR:RUBINO, ROSELENA
Title:Deriving vertical total electron content maps from SMOS full polarimetric data to compensate the Faraday rotation effect
Reading date:16/09/2022
Director:DUFFO UBEDA, NURIA
Co-director:GONZÁLEZ GAMBAU, VERÓNICA
Mention:No mention
RELATED PUBLICATIONS
Deriving VTEC maps from SMOS radiometric data
Rubino, R.; Duffo, N.; González-Gambau, V.; Corbella, I.; Torres, F.; Duran, I.; Martín, M.
Remote sensing, ISSN: 2072-4292 (JCR Impact Factor-2020: 4.848; Quartil: Q1)
Publication date: 01/05/2020
Journal article

Direct faraday rotation angle retrieval in SMOS field of view
2017 IEEE International Geoscience and Remote Sensing Symposium
Presentation date: 07/2017
Presentation of work at congresses

New methodology for the Faraday rotation angle retrieval in the SMOS field of view
2018 IEEE International Geoscience and Remote Sensing Symposium
Presentation date: 22/07/2018
Presentation of work at congresses

New methodology to retrieve the Faraday rotation angle using SMOS data
European Space Agency Living Planet Symposium
Presentation of work at congresses

Refining the methodology to correct the faraday rotation angle from SMOS measurements
2019 IEEE International Geoscience and Remote Sensing Symposium
Presentation of work at congresses

Characterizing systematic errors in the Faraday rotation retrieval from SMOS measurements
2020 IEEE International Geoscience and Remote Sensing Symposium
Presentation date: 2020
Presentation of work at congresses

Retrieving the vertical total electron content to correct the faraday rotation angle in SMOS
16th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment
Presentation date: 19/11/2020
Presentation of work at congresses

SMOS instrument performance after more than 11 years in orbit
2021 IEEE International Geoscience and Remote Sensing Symposium
Presentation date: 2021
Presentation of work at congresses

AUTHOR:RAMON MALDONADO, EDUARD
Title:Few-shot 3D reconstruction of body parts with deep neural networks
Reading date:15/09/2022
Director:GIRÓ NIETO, XAVIER
Co-director:GARCIA GIRALDEZ, JAIME
Co-director:MORENO NOGUER, FRANCESC D'ASSIS
Mention:Industrial Doctorate Mention (Generalitat)
RELATED PUBLICATIONS
Hyperparameter-free losses for model-based monocular reconstruction
4th Geometry Meets Deep Learning Workshop
Presentation date: 02/11/2019
Presentation of work at congresses

Multi-view 3D face reconstruction in the wild using siamese networks
2nd 3D Face Alignment in the Wild Challenge
Presentation date: 02/11/2019
Presentation of work at congresses

H3D-Net: Few-shot high-fidelity 3D head reconstruction
18th IEEE/CVF International Conference on Computer Vision
Presentation date: 12/10/2021
Presentation of work at congresses

AUTHOR:LIESEGANG MARIA, SERGI
Title:Energy-driven techniques for massive machine-type communications
Reading date:07/09/2022
Director:MUÑOZ MEDINA, OLGA
Co-director:PASCUAL ISERTE, ANTONIO
Mention:No mention
RELATED PUBLICATIONS
Approximations of the aggregated interference statistics for outage analysis in massive MTC
Liesegang, S.; Pascual Iserte, A.; Muñoz, O.
Sensors (Basel), ISSN: 1424-8220 (JCR Impact Factor-2019: 3.275; Quartil: Q1)
Publication date: 12/2019
Journal article

Entropy-based sensing schemes for energy efficiency in massive MTC
Liesegang, S.; Pascual Iserte, A.; Muñoz, O.
IEEE wireless communications letters, ISSN: 2162-2337 (JCR Impact Factor-2020: 4.348; Quartil: Q1)
Publication date: 08/2020
Journal article

Sensor selection and distributed quantization for energy efficiency in massive MTC
Liesegang, S.; Muñoz, O.; Pascual Iserte, A.
IEEE transactions on communications, ISSN: 0090-6778 (JCR Impact Factor-2021: 6.166; Quartil: Q1)
Publication date: 12/2021
Journal article

Interference statistics approximations for data rate analysis in uplink massive MTC
6th IEEE Global Conference on Signal and Information Processing
Presentation date: 11/2018
Presentation of work at congresses

Stochastic geometry analysis and design of wireless powered MTC networks
21st IEEE International Workshop on Signal Processing Advances in Wireless Communications
Presentation date: 28/05/2020
Presentation of work at congresses

Energy driven transmission schemes for coexistence between HTC and MTC
26th European Wireless Conference
Presentation date: 11/11/2021
Presentation of work at congresses

AUTHOR:BALLESTEROS SÁNCHEZ, CHRISTIAN
Title:Mobile 5G Millimeter-wave multi-antenna systems
Reading date:21/07/2022
Director:JOFRE ROCA, LUIS
Mention:International Mention
RELATED PUBLICATIONS
Hybrid massive MIMO for urban V2I: Sub-6 GHz vs mmWave performance assessment
Pfadler, A.; Ballesteros, C.; Romeu, J.; Jofre, L.
IEEE transactions on vehicular technology, ISSN: 0018-9545 (JCR Impact Factor-2020: 5.978; Quartil: Q1)
Publication date: 03/2020
Journal article

Terahertz frequency-scaled differential imaging for Sub-6 GHz vehicular antenna signature analysis
Solano-Sanchez, J.; Martinez-Ingles, M.; Molina García-Pardo, José María; Romeu, J.; Jofre, L.; Ballesteros, C.; Rodriguez, J.; Mateo-Aroca, A.
Sensors (Basel), ISSN: 1424-8220 (JCR Impact Factor-2020: 3.576; Quartil: Q1)
Publication date: 02/10/2020
Journal article

Assessment of mmwave handset arrays in the presence of the user body
Ballesteros, C.; Vähä-Savo, L.; Haneda, K.; Icheln, C.; Romeu, J.; Jofre, L.
IEEE antennas and wireless propagation letters, ISSN: 1548-5757 (JCR Impact Factor-2021: 3.825; Quartil: Q2)
Publication date: 01/01/2021
Journal article

On differential imaging using electromagnetic simulation for vehicular antenna signature analysis
Solano-Pérez, J.; Martinez-Ingles, M.; Molina García-Pardo, José María; Romeu, J.; Jofre, L.; Ballesteros, C.; Rodriguez, J.; Mateo-Aroca, A.; Guzmán, R.
Sensors (Basel), ISSN: 1424-8220 (JCR Impact Factor-2021: 3.847; Quartil: Q2)
Publication date: 30/05/2021
Journal article

Link-Level mmWave 5G Service Availability in Advanced Vehicle-to-Vehicle Applications
IEEE vehicular technology magazine, ISSN: 1556-6080 (JCR Impact Factor-2021: 13.609; Quartil: Q1)
Journal article

Beam management for vehicle-to-vehicle (V2V) communications in millimeter wave 5G
Montero, L.; Ballesteros, C.; De Marco, C.; Jofre, L.
Vehicular communications, ISSN: 2214-2096
Publication date: 04/2022
Journal article

Adaptive beamwidth optimization under Doppler ICI and positioning errors at mmWave bands
Ballesteros, C.; Pfadler, A.; Montero, L.; Romeu, J.; Jofre, L.
Vehicular communications, ISSN: 2214-2096
Publication date: 01/04/2022
Journal article

Multi-antenna 3D pattern design for millimeter-wave vehicular communications
Ballesteros, C.; Montero, L.; Ramirez, G.; Jofre, L.
Vehicular communications, ISSN: 2214-2096 (JCR Impact Factor-2020: 6.91; Quartil: Q1)
Publication date: 06/2022
Journal article

Multi-antenna configuration modeling for massive MIMO V2I
12th European Conference on Antennas and Propagation
Presentation date: 01/12/2018
Presentation of work at congresses

An architecture analysis for millimeter-wave optically steerable antenna array
13th European Conference on Antennas and Propagation
Presentation date: 04/2019
Presentation of work at congresses

A 3D printed lens antenna for 5G applications
2019 IEEE International Symposium on Antennas and Propagation
Presentation date: 07/2019
Presentation of work at congresses

Study of interconnecting switch currents in reconfigurable parasitic layer antennas
2019 IEEE International Symposium on Antennas and Propagation
Presentation date: 07/2019
Presentation of work at congresses

Study on beamforming V2I scenarios for sub-6 GHz and mmWave channels
14th European Conference on Antennas and Propagation
Presentation date: 03/2020
Presentation of work at congresses

Beam-shaping Antenna Array for Millimeter Waves Vehicle to Everything Communications
2020 XXXV Simposium Nacional de la Unión Científica Internacional de Radio
Presentation date: 02/09/2020
Presentation of work at congresses

Millimeter-wave MIMO array measurement system for imaging and channel characterization
XXXV Simposium Nacional de la Unión Científica Internacional de Radio
Presentation date: 02/09/2020
Presentation of work at congresses

Beam-based Interference Assessment of Vehicular Communications at mmWave Bands
XXXVI Simposium Nacional de la Unión Científica Internacional de Radio
Presentation date: 20/09/2021
Presentation of work at congresses

Assessment of channel-level security vulnerabilities for connected vehicular platoons
XXXVI Simposium Nacional de la Unión Científica Internacional de Radio
Presentation date: 20/09/2021
Presentation of work at congresses

AUTHOR:HERBERT, CHRISTOPH JOSEF
Title:Advanced methods for earth observation data synergy for geophysical parameter retrieval
Reading date:15/07/2022
Director:VALL-LLOSSERA FERRAN, MERCEDES MAGDALENA
Co-director:CAMPS CARMONA, ADRIANO JOSE
Mention:No mention
RELATED PUBLICATIONS
Analyzing spatio-temporal factors to estimate the response time between SMOS and in-situ soil moisture at different depths
Herbert, C.; Pablos, M.; Vall-llossera, M.; Camps, A.; Martinez, J.
Remote sensing, ISSN: 2072-4292 (JCR Impact Factor-2020: 6.6
Publication date: 13/08/2020
Journal article

Soil moisture estimation synergy using GNSS-R and L-Band microwave radiometry data from FSSCat/FMPL-2
Muñoz, J.; Llaveria, D.; Herbert, C.; Pablos, M.; Park, H.; Camps, A.
Remote sensing, ISSN: 2072-4292 (JCR Impact Factor-2021: 5.349; Quartil: Q1)
Publication date: 05/03/2021
Journal article

Sea ice concentration and sea ice extent mapping with L-Band microwave radiometry and GNSS-R data from the FFSCat mission using neural networks
Llaveria, D.; Muñoz, J.; Herbert, C.; Pablos, M.; Park, H.; Camps, A.
Remote sensing, ISSN: 2072-4292 (JCR Impact Factor-2021: 5.349; Quartil: Q1)
Publication date: 17/03/2021
Journal article

Bayesian unsupervised machine learning approach to segment arctic sea ice using SMOS data
Herbert, C.; Camps, A.; Wellmann, F.; Vall-llossera, M.
Geophysical research letters, ISSN: 0094-8276 (JCR Impact Factor-2021: 5.576; Quartil: Q1)
Publication date: 28/03/2021
Journal article

Sea ice thickness estimation based on regression neural networks using L-band microwave radiometry data from the FSSCat mission
Herbert, C.; Muñoz, J.; Llaveria, D.; Pablos, M.; Camps, A.
Remote sensing, ISSN: 2072-4292 (JCR Impact Factor-2021: 5.349; Quartil: Q1)
Publication date: 02/04/2021
Journal article

THE INFERENCE OF ARCTIC SEA ICE THICKNESS FROM SMOS MULTI-INCIDENT ANGLE BRIGHTNESS TEMPERATURES USING UNSUPERVISED
American Geophysical Union Fall Meeting 2019
Presentation date: 13/12/2019
Presentation of work at congresses

Influence of quality filtering approaches in BEC SMOS L3 soil moisture products
2019 IEEE International Geoscience and Remote Sensing Symposium
Presentation date: 31/07/2019
Presentation of work at congresses

Dynamic time warping analysis of the evolution of SMOS surface and in- situ soil moisture time series
Sharing Geoscience Online 2020
Presentation date: 07/05/2020
Presentation of work at congresses

Estimating Arctic sea ice distribution from SMOS multi-incident angle brightness temperatures using unsupervised learning algorithms
16th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment
Presentation date: 11/2020
Presentation of work at congresses

FSSCat Mission description and first scientific results of the FMPL-2 onboard 3CAT-5/A
2021 IEEE International Geoscience and Remote Sensing Symposium
Presentation date: 15/07/2021
Presentation of work at congresses

Probabilistic inference method to discriminate closed water from sea ice using SENTINEL-1 Sar signatures
2021 IEEE International Geoscience and Remote Sensing Symposium
Presentation date: 07/2021
Presentation of work at congresses

Soil moisture retrieval using the FMPL-2/FSSCat GNSS-R and microwave radiometry data
2021 IEEE International Geoscience and Remote Sensing Symposium
Presentation date: 07/2021
Presentation of work at congresses

Sea ice thickness retrieval based on predictive regression neural networks using L-band microwave radiometry data from the FSSCat mission
23rd European Geosciences Union General Assembly
Presentation date: 19/04/2021
Presentation of work at congresses

FSSCAT Mission description & scientific results of the FMPL-2 payload
3rd Spanish Small Satellites International Forum
Presentation date: 02/2022
Presentation of work at congresses

Spatial and temporal segmentation to synergize CIMR-equivalent SMOS and AMSR2 observations for sea ice parameter retrieval
ESA Living Planet Symposium 2022
Presentation date: 27/05/2022
Presentation of work at congresses

AUTHOR:CARDOSO DUARTE, AMANDA
Title:Data and methods for a visual understanding of sign languages
Reading date:27/06/2022
Director:GIRÓ NIETO, XAVIER
Co-director:TORRES VIÑALS, JORDI
Mention:International Mention
RELATED PUBLICATIONS
Cross-modal embeddings for video and audio retrieval
Women in Computer Vision Workshop 2018
Presentation date: 09/09/2018
Presentation of work at congresses

Wav2Pix: speech-conditioned face generation using generative adversarial networks
2019 IEEE International Conference on Acoustics, Speech and Signal Processing
Presentation date: 16/05/2019
Presentation of work at congresses

Cross-modal neural sign language translation
27th ACM International Conference on Multimedia
Presentation date: 23/10/2019
Presentation of work at congresses

How2Sign: A large-scale multimodal dataset for continuous American sign language
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Presentation date: 21/06/2021
Presentation of work at congresses

Sign language video retrieval with free-form textual queries
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Presentation date: 21/06/2022
Presentation of work at congresses

AUTHOR:PORTAL GONZALEZ, GERARD
Title:Synergistic optical and microwave remote sensing approaches for soil moisture mapping at high resolution
Reading date:27/05/2022
Director:VALL-LLOSSERA FERRAN, MERCEDES MAGDALENA
Co-director:PILES GUILLEM, MARIA
Mention:International Mention
RELATED PUBLICATIONS
A spatially consistent downscaling approach for SMOS using an adaptive moving window
Portal, G.; Vall-llossera, M.; Piles, M. P.; Camps, A.; Chaparro, D.; Pablos, M.; Rossato, L.
IEEE journal of selected topics in applied earth observations and remote sensing, ISSN: 1939-1404 (JCR Impact Factor-2018: 3.392; Quartil: Q2)
Publication date: 30/05/2018
Journal article

Assessment of multi-scale SMOS and SMAP soil moisture products across the Iberian Peninsula
Portal, G.; Jagdhuber, T.; Vall-llossera, M.; Camps, A.; Pablos, M.; Entekhabi, D.; Piles, M.
Remote sensing, ISSN: 2072-4292 (JCR Impact Factor-2020: 4.848; Quartil: Q1)
Publication date: 01/02/2020
Journal article

A generic simulator of spaceborne GNSS-R for land applications
GNSS+R Specialist Meeting on Reflectometry using GNSS and other Signals of Opportunity
Presentation date: 20/05/2019
Presentation of work at congresses

'EVALUATION OF VECTOR-BORNE DISEASES AND SOIL MOISTURE
2019 IEEE International Geoscience and Remote Sensing Symposium
Presentation date: 31/07/2019
Presentation of work at congresses

Sensitivity to soil moisture and observation geometry of spaceborne GNSS-R Delay-Doppler Maps
2019 IEEE International Geoscience and Remote Sensing Symposium
Presentation date: 30/07/2019
Presentation of work at congresses

Improving the rice yield estimation using SMOS and CYGNSS GNSS-R data
2020 IEEE International Geoscience and Remote Sensing Symposium
Presentation date: 2020
Presentation of work at congresses

Assessment of Multi-Scale SMOS and SMAP Soil Moisture Products across the Iberian Peninsula
SMAP Disaggregation Workshop
Presentation date: 17/11/2020
Presentation of work at congresses

Incidence angle diversity on L-band microwave radiometry and its impact on consistent soil moisture retrievals
2021 IEEE International Geoscience and Remote Sensing Symposium
Presentation date: 07/2021
Presentation of work at congresses

Synergistic use of SMOS and Sentinel-3 for retrieving spatiotemporally estimates of surface soil moisture and evaporative fraction
23rd European Geosciences Union General Assembly
Presentation date: 03/03/2021
Presentation of work at congresses

AUTHOR:DU, SEN
Title:Three dimensional temporal-spatial model based SAR algorithms for monitoring large gradient deformations in mining area
Reading date:13/05/2022
Director:MALLORQUI FRANQUET, JORDI JOAN
Mention:No mention
RELATED PUBLICATIONS
Analysis of pre- and post-mine closure surface deformations in western xuzhou coalfield from 2006 to 2018
Zheng, M.; Zhang, H.; Deng, K.; Du, S.; Wang, L.
IEEE access, ISSN: 2169-3536 (JCR Impact Factor-2019: 3.745; Quartil: Q1)
Publication date: 01/01/2019
Journal article

Improving PSI processing of mining induced large deformations with external models
Du, S.; Mallorqui, J.J.; Fan, H.; Zheng, M.
Remote sensing, ISSN: 2072-4292 (JCR Impact Factor-2020: 4.848; Quartil: Q1)
Publication date: 24/09/2020
Journal article

A new model for three-dimensional deformation extraction with single-track InSAR based on mining subsidence characteristics
Fan, H.; Wang, L.; Wen, B.; Du, S.
International journal of applied Earth observation and geoinformation, ISSN: 0303-2434 (JCR Impact Factor-2021: 10.5
Publication date: 02/2021
Journal article

An improvement of offset tracking for cross hair (CH) and patch like (PL) elimination and reliability estimation for large deformation monitoring with SAR data
2021 IEEE International Geoscience and Remote Sensing Symposium
Presentation of work at congresses

AUTHOR:VILÀ MUÑOZ, IRENE
Title:Contribution to the modelling and evaluation of radio network slicing solutions in 5G
Reading date:06/04/2022
Director:UMBERT JULIANA, ANNA
Co-director:SALLENT ROIG, JOSE ORIOL
Mention:No mention
RELATED PUBLICATIONS
An analytical model for multi-tenant radio access networks supporting guaranteed bit rate services
Vila, I.; Sallent, O.; Umbert, A.; Perez-Romero, J.
IEEE access, ISSN: 2169-3536 (JCR Impact Factor-2019: 3.745; Quartil: Q1)
Publication date: 25/04/2019
Journal article

Characterisation of radio access network slicing scenarios with 5G QoS provisioning
Vila, I.; Perez-Romero, J.; Sallent, O.; Umbert, A.
IEEE access, ISSN: 2169-3536 (JCR Impact Factor-2020: 3.367; Quartil: Q2)
Publication date: 13/03/2020
Journal article

Machine learning-assisted cross-slice radio resource optimization: Implementation framework and algorithmic solution
ITU Journal on future and evolving technologies, ISSN: 2616-8375
Publication date: 12/2020
Journal article

A multi-agent reinforcement learning approach for capacity sharing in multi-tenant scenarios
Vila, I.; Perez-Romero, J.; Sallent, O.; Umbert, A.
IEEE transactions on vehicular technology, ISSN: 0018-9545 (JCR Impact Factor-2021: 6.239; Quartil: Q1)
Publication date: 27/07/2021
Journal article

Guaranteed bit rate traffic prioritisation and isolation in multi-tenant radio access networks
23rd IEEE International Workshop on Computer-Aided Modeling Analysis and Design of Communication Links and Networks
Presentation date: 09/2018
Presentation of work at congresses

5G framework for automated network adaptation in mission critical services
2018 IEEE Conference on Network Function Virtualization and Software Defined Networks
Presentation date: 11/2018
Presentation of work at congresses

Performance measurements-based estimation of radio resource requirements for slice admission control
IEEE 90th Vehicular Technology Conference Fall
Presentation date: 09/2019
Presentation of work at congresses

Supporting mission critical services through radio access network slicing
6th International Conference on Information and Communication Technologies for Disaster Management
Presentation date: 12/2019
Presentation of work at congresses

A deep Q-network approach for radio access network slicing
XXXV Simposium Nacional de la Unión Científica Internacional de Radio
Presentation date: 02/09/2020
Presentation of work at congresses

A novel approach for dynamic capacity sharing in multi-tenant scenarios
IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications
Presentation date: 31/08/2020
Presentation of work at congresses

Evaluation of a multi-cell and multi-tenant capacity sharing solution under heterogeneous traffic distributions
2021 IEEE 93th Vehicular Technology Conference
Presentation date: 27/04/2021
Presentation of work at congresses

A Deep Q Network-based Multi-Connectivity Algorithm for Heterogeneous 4G/5G Cellular Systems
18th International Conference on Artifical Intelligence Applications and Innovations
Presentation of work at congresses

Impact analysis of training in deep reinforcement learning-based radio access network slicing
2022 19th Annual IEEE Consumer Communications and Networking Conference
Presentation date: 09/01/2022
Presentation of work at congresses

Deep learning-based multi-connectivity optimization in cellular networks
IEEE 95th Vehicular Technology Conference
Presentation date: 06/2022
Presentation of work at congresses

AUTHOR:ESCOLANO PEINADO, CARLOS
Title:Learning multilingual and multimodal representations with language-specific encoders and decoders for Machine translation
Reading date:18/03/2022
Director:RUIZ COSTA-JUSSA, MARTA
Co-director:RODRIGUEZ FONOLLOSA, JOSE ADRIAN
Mention:No mention
RELATED PUBLICATIONS
Multinlingual translator
Universitat Politècnica de Catalunya
Registration date: 13/04/2021
Patent

Chinese-Catalan: A neural machine translation approach based on pivoting and attention mechanisms
Costa-jussà, Marta R.; Casas, N.; Escolano, C.; Fonollosa, José A. R.
ACM transactions on asian language information processing, ISSN: 2375-4699 (JCR Impact Factor-2019: 1.42; Quartil: Q4)
Publication date: 01/01/2019
Journal article

From bilingual to multilingual neural-based machine translation by incremental training
Escolano, C.; Costa-jussà, Marta R.; Fonollosa, José A. R.
Journal of the Association for Information Science and Technology, ISSN: 2330-1643 (JCR Impact Factor-2020: 2.687; Quartil: Q3)
Publication date: 02/08/2020
Journal article

The TALP-UPC machine translation systems for WMT18 news translation shared task
3rd Conference on Machine Translation
Presentation date: 31/10/2018
Presentation of work at congresses

End-to-end speech translation with the transformer
International Conference on Advances in Speech and Language Technologies for Iberian Languages 2018
Presentation date: 21/01/2018
Presentation of work at congresses

From bilingual to multilingual neural machine translation by incremental training
57th Annual Meeting of the Association for Computational Linguistics
Presentation date: 30/07/2019
Presentation of work at congresses

Multilingual, multi-scale and multi-layer visualization of sequence-based intermediate representations
2019 Conference on Empirical Methods in Natural Language Processing
Presentation date: 05/11/2019
Presentation of work at congresses

The TALP-UPC system description for WMT20 news translation task: multilingual adaptation for low resource MT
Fifth Conference on Machine Translation
Presentation date: 19/11/2020
Presentation of work at congresses

Multilingual machine translation: Closing the gap between shared and language-specific encoder-decoders
16th Conference of the European Chapter of the Association for Computational Linguistics
Presentation date: 19/04/2021
Presentation of work at congresses

Enriching the transformer with linguistic factors for low-resource machine translation
Recent Advances in Natural Language Processing 2021
Presentation date: 09/2021
Presentation of work at congresses

End-to-end speech translation with pre-trained models and adapters: UPC at IWSLT 2021
18th International Conference on Spoken Language Translation
Presentation date: 05/08/2021
Presentation of work at congresses

Enabling zero-shot multilingual spoken language translation with language-specific encoders and decoders
2021 IEEE Automatic Speech Recognition and Understanding Workshop
Presentation date: 16/12/2021
Presentation of work at congresses

AUTHOR:MOLINA OLIVERAS, FRANCESC
Title:Allocation designs for massive multiple access with interference cancellation
Reading date:06/10/2021
Director:SALA ALVAREZ, JOSE
Mention:No mention
RELATED PUBLICATIONS
Asymptotic performance analysis of successive interference cancellation with dynamic user-decoding order
F. Molina; Sala, J.
IEEE communications letters, ISSN: 1089-7798 (JCR Impact Factor-2020: 3.436; Quartil: Q2)
Publication date: 01/09/2020
Journal article

Discontinuous user-energy distribution for dynamically ordered successive interference cancellation
F. Molina; Sala, J.
IEEE communications letters, ISSN: 1089-7798 (JCR Impact Factor-2021: 3.553; Quartil: Q2)
Publication date: 05/2021
Journal article

Energy allocation design for the satellite return channel of a massive NOMA system with interference cancellation
F. Molina; Sala, J.
IEEE transactions on green communications and networking, ISSN: 2473-2400 (JCR Impact Factor-2019: 1.18; Quartil: Q1)
Publication date: 06/2022
Journal article

Rate allocation in massive multiple access combining successive decoding with error control
54th Asilomar Conference on Signals, Systems, and Computers
Presentation date: 04/11/2020
Presentation of work at congresses

AUTHOR:MAHAJAN, ANKUSH
Title: Machine learning assisted QoT estimation for optical networks optimization
Reading date:28/09/2021
Tutor/a:SPADARO, SALVATORE
Director:MARTINEZ RIVERA, RICARDO VICTOR
Co-director:CHRISTODOULOPOULOS, KONSTANTINOS
Co-director:MUÑOZ GONZALEZ, RAUL
Mention:Menció Doctorat Internacional + Industrial Doctorate Mention
RELATED PUBLICATIONS
Modeling EDFA gain ripple and filter penalties with machine learning for accurate QoT estimation
Mahajan, A.; Christodoulopoulos, K.; Martínez, R.; Spadaro, S.; Muñoz, R.
Journal of lightwave technology, ISSN: 0733-8724 (JCR Impact Factor-2020: 4.142; Quartil: Q1)
Publication date: 01/05/2020
Journal article

Quality of transmission estimator retraining for dynamic optimization in optical networks
Mahajan, A.; Christodoulopoulos, K.; Martínez, R.; Muñoz, R.; Spadaro, S.
Journal of optical communications and networking, ISSN: 1943-0620 (JCR Impact Factor-2021: 4.508; Quartil: Q1)
Publication date: 01/04/2021
Journal article

Modeling filtering penalties in ROADM-based networks with machine learning for QoT estimation
2020 Optical Fiber Communications Conference
Presentation date: 12/03/2020
Presentation of work at congresses

Improving QoT estimation accuracy with DGE monitoring using machine learning
24th International Conference on Optical Network Design and Modeling
Presentation date: 19/05/2020
Presentation of work at congresses

Machine learning assisted EDFA gain ripple modelling for accurate QoT estimation
45th European Conference on Optical Communication
Presentation date: 09/2019
Presentation of work at congresses

Modelling multi-vendor transponders performance and optimizing launch power
46th European Conference on Optical Communication
Presentation date: 10/12/2020
Presentation of work at congresses

Adaptive and iterative QoT estimator retraining for launch power optimization
2021 Optical Fiber Communications Conference and Exhibition
Presentation date: 09/06/2021
Presentation of work at congresses

AUTHOR:TABARES GIRALDO, YEISON ALEJANDRO
Title:Transmission impairments mitigation in next generation coherent optical access networks
Reading date:08/09/2021
Director:PRAT GOMA, JOSEP JOAN
Award:
Mention:No mention
RELATED PUBLICATIONS
Receptor heterodino independiente de la polarización para señales ópticas moduladas en fase y codificadas diferencialmente
Universitat Politècnica de Catalunya
Registration date: 24/02/2017
Patent

Field-Trial of a high-budget, filterless, lambda-to-the-user, UDWDM-PON enabled by an innovative class of low-cost coherent transceivers
Presi, M.; Artiglia, M.; Bottoni, F.; Cano, I.; Tabares, Y.; Velasquez, J.; Ghasemi, S.; Polo, V.; Chu, Y.; Prat, J.
Journal of lightwave technology, ISSN: 0733-8724 (JCR Impact Factor-2017: 3.652; Quartil: Q1)
Publication date: 01/09/2017
Journal article

1.25–2.5 Gb/s simple nyquist transmitters for coherent UDWDM-PON with enhanced spectral efficiency
Velasquez, J.; Tabares, Y.; Cano, I.; Prat, J.
Fiber and integrated optics, ISSN: 0146-8030 (JCR Impact Factor-2018: 0.525; Quartil: Q4)
Publication date: 19/04/2018
Journal article

Simplified carrier recovery for intradyne optical PSK receivers in udWDM-PON
Tabares, Y.; Ghasemi, S.; Polo, V.; Prat, J.
Journal of lightwave technology, ISSN: 0733-8724 (JCR Impact Factor-2018: 4.162; Quartil: Q1)
Publication date: 28/04/2018
Journal article

LUT-free carrier recovery for intradyne optical DPSK receivers in UDWDM-PON
Ghasemi, S.; Tabares, Y.; Polo, V.; Prat, J.
Journal of lightwave technology, ISSN: 0733-8724 (JCR Impact Factor-2019: 4.288; Quartil: Q1)
Publication date: 15/03/2019
Journal article

Differential 8-APSK monolithically integrated dual-EML transmitter for flexible coherent PONs
Velasquez, J.; Tabares, Y.; Prat, J.
Optics letters, ISSN: 0146-9592 (JCR Impact Factor-2019: 3.714; Quartil: Q1)
Publication date: 01/06/2019
Journal article

Coherent ultra-dense WDM-PON enabled by complexity-reduced digital transceivers
Tabares, Y.; Ghasemi, S.; Velasquez, J.; Prat, J.
Journal of lightwave technology, ISSN: 0733-8724 (JCR Impact Factor-2020: 4.142; Quartil: Q1)
Publication date: 15/03/2020
Journal article

Flexible coherent UDWDM-PON with dynamic user allocation based on limited-tunability lasers
Segarra, J.; Sales, V.; Polo, V.; Tabares, Y.; Prat, J.
Journal of optical communications and networking, ISSN: 1943-0620 (JCR Impact Factor-2020: 3.984; Quartil: Q1)
Publication date: 01/09/2020
Journal article

Coherent UD-WDM RoF Fronthaul network with D-EML transmitter and phase-noise robust receiver
Masanas, M.; Tabares, Y.; Prat, J.
IEEE photonics technology letters, ISSN: 1041-1135 (JCR Impact Factor-2021: 2.414; Quartil: Q3)
Publication date: 01/12/2021
Journal article

Digital pre-emphasis for 10Gb/s with low-cost directly phase-modulated lasers for PONs
Signal Processing in Photonic Communications 2018
Presentation date: 02/06/2018
Presentation of work at congresses

Optimized differential detection-based optical carrier recovery for intradyne PSK receivers in udWDM-PON
2018 Optical Fiber Communication Conference and Exposition
Presentation date: 15/03/2018
Presentation of work at congresses

Direct phase modulation for UDWDM ONU with beat signals
20th International Conference on Transparent Optical Networks
Presentation date: 01/07/2018
Presentation of work at congresses

LUT-Free carrier recovery for intradyne optical DPSK receivers in UDWDM-PON
44th European Conference on Optical Communication
Presentation date: 23/09/2018
Presentation of work at congresses

Demonstration of continuous multiple access with image-rejection coherent receiver and DML transmitters
48th European Conference on Optical Communication
Presentation date: 18/09/2022
Presentation of work at congresses

AUTHOR:GONZÁLEZ LÓPEZ, GISELLE
Title:Wireless sensors embedded in high permittivity lossy media
Reading date:29/06/2021
Director:JOFRE ROCA, LUIS
Mention:International Mention
RELATED PUBLICATIONS
3-D printed UWB microwave bodyscope for biomedical measurements
Rashid, S.; Jofre, L.; Garrido, A.; Gonzalez, G.; Ding, Y.; Aguasca, A.; O'callaghan, J.; Romeu, J.
IEEE antennas and wireless propagation letters, ISSN: 1536-1225 (JCR Impact Factor-2019: 3.726; Quartil: Q1)
Publication date: 15/02/2019
Journal article

Resonance-Based microwave technique for body implant sensing
Gonzalez, G.; Jofre, L.; Amorós, S.; Rodríguez-Leor, O.; Galvez Monton, Carolina; Bayés-Genis, A.; O'callaghan, J.
Sensors (Basel), ISSN: 1424-8220 (JCR Impact Factor-2019: 3.275; Quartil: Q1)
Publication date: 03/11/2019
Journal article

Debye frequency-extended waveguide permittivity extraction for high complex permittivity materials. Concrete setting process characterization
Gonzalez, G.; Blanch, S.; Romeu, J.; Jofre, L.
IEEE transactions on instrumentation and measurement, ISSN: 0018-9456 (JCR Impact Factor-2019: 3.658; Quartil: Q1)
Publication date: 12/2019
Journal article

3D-printed UHF-RFID tag for embedded applications
Vidal; Lopez-Villegas, J.; Romeu, J.; Salas, A.; Garcia-Miquel, A.; Gonzalez, G.; Jofre, L.
IEEE access, ISSN: 2169-3536 (JCR Impact Factor-2020: 3.367; Quartil: Q2)
Publication date: 10/08/2020
Journal article

Wireless sensing of concrete setting process
Gonzalez, G.; Romeu, J.; Cairó, I.; Segura, I.; Ikumi, T.; Jofre, L.
Sensors (Basel), ISSN: 1424-8220 (JCR Impact Factor-2020: 3.576; Quartil: Q1)
Publication date: 21/10/2020
Journal article

Variable capacitive antenna loading for embedded RFID sensors
13th European Conference on Antennas and Propagation
Presentation date: 04/2019
Presentation of work at congresses

Antenna Packaging for In-body Applications
European Conference on Antennas and Propagation
Presentation of work at congresses

Embedded Sensor Transmission Optimization with a X-Wave mini-Anechoic Chamber
Simposium Nacional de la Unión Científica Internacional de Radio
Presentation of work at congresses

Novel microwave technique for coronary stent monitoring
Frontiers in CardioVascular Biomedicine 2020
Presentation of work at congresses

Antenna packaging for in-body applications
14th European Conference on Antennas and Propagation
Presentation date: 16/03/2020
Presentation of work at congresses

Optimal Probe Geometry for Microwave Monitoring during in-Lab ex-vivo Measurements
14th European Conference on Antennas and Propagation
Presentation date: 19/03/2020
Presentation of work at congresses

Microwave spectrometry for coronary stent monitoring
Heart Failure 2020
Presentation date: 05/06/2020
Presentation of work at congresses

MONITORITZACIÓ NO INVASIVA I NO IONITZANT D’STENTS CORONARIS MITJANÇANT ESPECTROMETRIA DE MICROONES
32 Congrés de la Societat Catalana de Cardiologia
Presentation date: 16/09/2020
Presentation of work at congresses

MONITORIZACIÓN NO INVASIVA Y NO IONIZANTE DE STENTS CORONARIOS MEDIANTE ESPECTROMETRÍA DE MICROONDAS
eCongreso SEC 2020 de la Salud Cardiovascular
Presentation date: 28/10/2020
Presentation of work at congresses

Design and characterization of non-planar 3D-printed passive UHF-RFID tag
XXXV Conference on Design of Circuits and Integrated Systems
Presentation date: 30/11/2020
Presentation of work at congresses

Microwave spectrometry for the evaluation of coronary stents
ESC Congress 2020 - The Digital Experience
Presentation date: 28/08/2020
Presentation of work at congresses

Modulation-Based Functional Monitoring of a Microwave Bio-Tag
XXXVI Simposium Nacional de la Unión Científica Internacional de Radio
Presentation date: 20/09/2021
Presentation of work at congresses

AUTHOR:MUÑOZ MARTIN, JOAN FRANCESC
Title:Development of novel instruments and techniques for passive microwave remote sensing
Reading date:17/06/2021
Director:CAMPS CARMONA, ADRIANO JOSE
Award:
Mention:No mention
RELATED PUBLICATIONS
The flexible microwave payload-2: A SDR-based GNSS-reflectometer and L-Band radiometer for CubeSats
Muñoz, J.; Fernandez, L.; Ruiz-de-Azua, J.A.; Camps, A.
IEEE journal of selected topics in applied earth observations and remote sensing, ISSN: 1939-1404 (JCR Impact Factor-2020: 3.784; Quartil: Q2)
Publication date: 23/03/2020
Journal article

Untangling the incoherent and coherent scattering components in GNSS-R and novel applications
Muñoz, J.; Onrubia, R.; Pascual, D.; Park, H.; Camps, A.; Rudiger, C.; Walker, J.; Monerris, A.
Remote sensing, ISSN: 2072-4292 (JCR Impact Factor-2020: 4.848; Quartil: Q1)
Publication date: 09/04/2020
Journal article

Implementation of a testbed for GNSS-R payload performance evaluation
Perez, A.; Muñoz, J.; Querol, J.; Park, H.; Camps, A.
IEEE journal of selected topics in applied earth observations and remote sensing, ISSN: 1939-1404 (JCR Impact Factor-2020: 3.784; Quartil: Q2)
Publication date: 28/05/2020
Journal article

Experimental evidence of swell signatures in airborne L5/E5a GNSS-reflectometry
Muñoz, J.; Onrubia, R.; Pascual, D.; Park, H.; Camps, A.; Rudiger, C.; Walker, J.; Monerris, A.
Remote sensing, ISSN: 2072-4292 (JCR Impact Factor-2020: 4.848; Quartil: Q1)
Publication date: 29/05/2020
Journal article

Deployment mechanism for a L-band helix antenna in 1-Unit Cubesat
Fernandez, L.; Sobrino, M.; Milian, O.; Aguilella, A.; Solanellas, A.; Badia, M.; Muñoz, J.; Ruiz-de-Azua, J.A.; Sureda, M.; Camps, A.
Acta astronautica, ISSN: 0094-5765 (JCR Impact Factor-2020: 2.413; Quartil: Q1)
Publication date: 08/09/2020
Journal article

Analytical computation of the spatial resolution in GNSS-R and experimental validation at L1 and L5
Camps, A.; Muñoz, J.
Remote sensing, ISSN: 2072-4292 (JCR Impact Factor-2020: 4.848; Quartil: Q1)
Publication date: 28/11/2020
Journal article

Snow and ice thickness retrievals using GNSS-R: Preliminary results of the mosaic experiment
Muñoz, J.; Perez, A.; Camps, A.; Ribó, S.; Cardellach Galí, Estel; Stroeve, J.; Nandan, V.; Itkin, P.; Tonboe, R.; Hendricks, S.; Huntemann, M.; Spreen, G.; Pastena, M.
Remote sensing, ISSN: 2072-4292 (JCR Impact Factor-2020: 4.848; Quartil: Q1)
Publication date: 02/12/2020
Journal article

In-orbit validation of the fmpl-2 instrument—the gnss-r and l-band microwave radiometer payload of the fsscat mission
Muñoz, J.; Fernandez, L.; Perez, A.; Ruiz-de-Azua, J.A.; Park, H.; Camps, A.; Carnicero, B.; Pastena, M.
Remote sensing, ISSN: 2072-4292 (JCR Impact Factor-2021: 5.349; Quartil: Q1)
Publication date: 01/01/2021
Journal article

Airborne GNSS-R: A key enabling technology for environmental monitoring
Perez, A.; Muñoz, J.; Park, H.; Camps, A.
IEEE journal of selected topics in applied earth observations and remote sensing, ISSN: 1939-1404 (JCR Impact Factor-2021: 4.715; Quartil: Q1)
Publication date: 2021
Journal article

Design and Testing of a Helix Antenna Deployment System for a 1U CubeSat
Sureda, M.; Sobrino, M.; Millán, O.; Aguilella, A.; Solanellas, A.; Badia, M.; Muñoz, J.; Fernandez, L.; Ruiz-de-Azua, J.A.; Camps, A.
IEEE access, ISSN: 2169-3536 (JCR Impact Factor-2021: 3.476; Quartil: Q2)
Publication date: 05/2021
Journal article

3Cat-4: combined GNSS-R, L-Band radiometer with RFI mitigation, and AIS receiver for a I-Unit Cubesat based on software defined radio
2018 IEEE International Geoscience and Remote Sensing Symposium
Presentation date: 07/2018
Presentation of work at congresses

FSSCAT, the 2017 Copernicus Masters’ “ESA Sentinel Small Satellite Challenge” Winner: A Federated Polar and Soil Moisture Tandem Mission Based on 6U Cubesats
2018 IEEE International Geoscience and Remote Sensing Symposium
Presentation date: 07/2018
Presentation of work at congresses

3Cat-4: a 1U cubesat demonstration GNSS-R mission
2nd URSI Atlantic Radio Science Meeting
Presentation date: 18/09/2018
Presentation of work at congresses

The Flexible Microwave Payload-1: a combined GNSS-Reflectometer and L-band Radiometer for the 3Cat-4 Cubesat Mission
IEEE GNSS+R 2019 Specialist Meeting on Reflectometry using GNSS and other Signals of Opportunity
Presentation date: 20/05/2019
Presentation of work at congresses

The Flexible Microwave Payload-2: A SDR-based GNSS-R instrument for CubeSats
Specialist Meeting on Reflectometry using GNSS and other Signals of Opportunity
Presentation date: 20/05/2019
Presentation of work at congresses

Real-time Radio Frequency Interference Detection and Mitigation with the Front-End GNSS Interference eXcisor (FENIX)
RFI 2019 Coexisting with Radio Frequency Interference
Presentation date: 24/09/2019
Presentation of work at congresses

DEPLOYMENT MECHANISM FOR A L-BAND HELIX ANTENNA IN 1-UNIT CUBESAT
70th International Astronautical Congress
Presentation date: 25/10/2019
Presentation of work at congresses

Real-time Radio Frequency Interference Detection and Mitigation in GNSS & GNSS-R Receivers with the Front-End GNSS Interference eXcisor (FENIX)
6th Workshop on Advanced RF Sensors and Remote Sensing Instruments, ARSI’19 & 4th Ka-band Earth Observation Radar Missions Workshop, KEO’19
Presentation date: 12/11/2019
Presentation of work at congresses

The Flexible Microwave Payload-2: A SDR-based GNSS-R Receiver and L-band Microwave Radiometer for Cubesatss
6th Workshop on Advanced RF Sensors and Remote Sensing Instruments, ARSI’19 & 4th Ka-band Earth Observation Radar Missions Workshop, KEO’19
Presentation date: 12/11/2019
Presentation of work at congresses

The flexible microwave payload -2: Architecture and testing of a combined GNSS-R and L-Band radiometer with RFI mitigation payload for cubesat-based Earth observation missions
2019 IEEE International Geoscience and Remote Sensing Symposium
Presentation date: 31/07/2019
Presentation of work at congresses

Proof-of-concept of a federated satellite system between two 6-unit cubeSats for distributed earth observation satellite systems
2019 IEEE International Geoscience and Remote Sensing Symposium
Presentation date: 31/07/2019
Presentation of work at congresses

³Cat-4 Mission: a 1-unit cubesat for earth observation with a L-band radiometer and a GNSS-reflectometer using software defined radio
2019 IEEE International Geoscience and Remote Sensing Symposium
Presentation date: 31/07/2019
Presentation of work at congresses

The flexible microwave payload -2: design, implementation, and optimization of a GNSS-R and radiometry processor for cubesat-based earth observation missions
2019 IEEE International Geoscience and Remote Sensing Symposium
Presentation date: 29/07/2019
Presentation of work at congresses

Analysis on the feasability of airborne GNSS-R receivers for weather nowcasting and target detection
2020 IEEE International Geoscience and Remote Sensing Symposium
Presentation date: 01/10/2020
Presentation of work at congresses

FFSCAT mission: preliminary results and ice products validation with mosaic campaign data
2020 IEEE International Geoscience and Remote Sensing Symposium
Presentation date: 2020
Presentation of work at congresses

FFSCAT: A CubeSat-based mission for earth observation of the polar regions
2020 Spanish Small Satellites International Forum
Presentation date: 25/02/2020
Presentation of work at congresses

RITA: Requirements and Preliminary Design of an L-band Microwave Radiometer, Optical Imager, and RFI detection Payload for a 3U CubeSat
2020 IEEE International Geoscience and Remote Sensing Symposium
Presentation date: 29/09/2020
Presentation of work at congresses

In-orbit validation of the FMPL-2 dual microwave payload onboard the Fsscat Mission
2021 IEEE International Geoscience and Remote Sensing Symposium
Presentation date: 15/07/2021
Presentation of work at congresses

AUTHOR:GIRBAU XALABARDER, ANDREU
Title:Sports broadcasting and multiple object tracking with deep learning methods
Reading date:17/03/2021
Director:MARQUES ACOSTA, FERNANDO
Co-director:GIRÓ NIETO, XAVIER
Co-director:RIUS FERRER, IGNASI
Mention:Industrial Doctorate Mention (Generalitat)
RELATED PUBLICATIONS
Tracked instance search
Girbau, A.; Hinami, R.; Satoh, S.
IEEE International Conference on Acoustics, Speech and Signal Processing. ICASSP proceedings, ISSN: 0736-7791 (JCR Impact Factor-2019: 0.672
Publication date: 15/04/2018
Journal article

RVOS: end-to-end recurrent network for video object segmentation
IEEE Computer Society conference on computer vision and pattern recognition. Proceedings, ISSN: 1063-6919 (JCR Impact Factor-2019: 13.396
Publication date: 15/06/2019
Journal article

AUTHOR:GARCÍA PASTOR, DAVID
Title:Nonlinear analysis of electro-acoustic frequency-selective devices for communications
Reading date:09/03/2021
Director:MATEU MATEU, JORDI
Co-director:COLLADO GOMEZ, JUAN CARLOS
Mention:No mention
RELATED PUBLICATIONS
Third-Harmonic and intermodulation distortion in bulk acoustic-wave resonators
Garcia, D.; Collado, J.; Mateu, J.; Aigner, R.
IEEE transactions on microwave theory and techniques, ISSN: 0018-9480 (JCR Impact Factor-2019: 3.413; Quartil: Q2)
Publication date: 17/12/2019
Journal article

Role of SiO2 layers in third-order nonlinear effects of temperature compensated BAW resonators
2019 IEEE International Ultrasonics Symposium
Presentation date: 06/10/2019
Presentation of work at congresses

AUTHOR:GIMÉNEZ FEBRER, PEDRO JUAN
Title:Matrix completion with prior information in reproducing kernel Hilbert spaces
Reading date:11/02/2021
Director:PAGES ZAMORA, ALBA MARIA
Mention:No mention
RELATED PUBLICATIONS
Matrix completion and extrapolation via kernel regression
Gimenez, P.; Pagès-Zamora, A.; Giannakis, G.B.
IEEE transactions on signal processing, ISSN: 1053-587X (JCR Impact Factor-2019: 5.028; Quartil: Q1)
Publication date: 01/10/2019
Journal article

Generalization error bounds for kernel matrix completion and extrapolation
Gimenez, P.; Pagès-Zamora, A.; Giannakis, G.B.
IEEE signal processing letters, ISSN: 1070-9908 (JCR Impact Factor-2020: 3.109; Quartil: Q2)
Publication date: 27/01/2020
Journal article

DOA estimation via shift-invariant matrix completion
Garg, V.; Gimenez, P.; Pagès-Zamora, A.; Santamaria, I.
Signal processing, ISSN: 0165-1684 (JCR Impact Factor-2021: 4.729; Quartil: Q2)
Publication date: 06/2021
Journal article

Online EM-based distributed estimation in sensor networks with faulty nodes
24th European Signal Processing Conference
Presentation date: 30/08/2016
Presentation of work at congresses

Matrix completion of noisy graph signals via proximal gradient minimization
42nd IEEE International Conference on Acoustics, Speech and Signal Processing
Presentation date: 08/03/2017
Presentation of work at congresses

Robust clustering of data collected via crowdsourcing
42nd IEEE International Conference on Acoustics, Speech and Signal Processing
Presentation date: 08/03/2017
Presentation of work at congresses

Source enumeration via Toeplitz matrix completion
45th IEEE International Conference on Acoustics, Speech, and Signal Processing
Presentation date: 08/05/2020
Presentation of work at congresses

AUTHOR:HUELTES ESCOBAR, ALBERTO
Title:Synthesis of acoustic wave filters. Ladder and transversal topologies. Towards a practical implementation
Reading date:05/02/2021
Director:COLLADO GOMEZ, JUAN CARLOS
Co-director:MATEU MATEU, JORDI
Mention:No mention
RELATED PUBLICATIONS
Synthesis of acoustic wave filters for enhanced response
International Workshop on Microwave Filters
Presentation date: 17/04/2018
Presentation of work at congresses

AUTHOR:KHAN, UMAIR
Title:Self-supervised Deep Learning Approaches To Speaker Recognition
Reading date:11/01/2021
Director:HERNANDO PERICAS, FRANCISCO JAVIER
Mention:No mention
RELATED PUBLICATIONS
DNN speaker embeddings using autoencoder pre-training
27th European Signal Processing Conference
Presentation date: 03/09/2019
Presentation of work at congresses

Unsupervised training of siamese networks for speaker verification
21st Annual Conference of the International Speech Communication Association
Presentation date: 25/10/2020
Presentation of work at congresses

Self-supervised deep learning approaches to speaker recognition: A Ph.D. Thesis overview
Fifth International Conference on Advances in Speech and Language Technologies for Iberian Languages
Presentation date: 24/03/2021
Presentation of work at congresses

AUTHOR:PASCUAL BIOSCA, DANIEL
Title:Design and performance analysis of advanced GNSS-R instruments back-end
Reading date:21/12/2020
Director:CAMPS CARMONA, ADRIANO JOSE
Co-director:PARK, HYUK
Mention:No mention
RELATED PUBLICATIONS
Advanced GNSS-R signals processing with GPUs
Cervelló, O.; Pascual, D.; Onrubia, R.; Camps, A.
IEEE journal of selected topics in applied earth observations and remote sensing, ISSN: 1939-1404 (JCR Impact Factor-2020: 3.784; Quartil: Q2)
Publication date: 01/01/2020
Journal article

L-band vegetation optical depth estimation using transmitted GNSS signals: Application to GNSS-reflectometry and positioning
Camps, A.; Alonso-Arroyo, A.; Park, H.; Onrubia, R.; Pascual, D.; Querol, J.
Remote sensing, ISSN: 2072-4292 (JCR Impact Factor-2020: 4.848; Quartil: Q1)
Publication date: 01/08/2020
Journal article

Experimental evidences of satellite cross-talk in interferometric GNSS-R during the first field campaign of the Microwave Interferometric Reflectometer
Specialist Meeting on Reflectometry using GNSS and other Signals of Opportunity
Presentation date: 20/05/2019
Presentation of work at congresses

Preliminary Altimetric and Scatterometric Results with the Microwave Interferometric Reflectometer (MIR) during its first airborne experiment
6th Workshop on Advanced RF Sensors and Remote Sensing Instruments, ARSI’19 & 4th Ka-band Earth Observation Radar Missions Workshop, KEO’19
Presentation date: 12/11/2019
Presentation of work at congresses

AUTHOR:SALEK SHISHAVAN, FARZIN
Title:From hypothesis testing of quantum channels to secret sharing
Reading date:14/12/2020
Director:RODRIGUEZ FONOLLOSA, JAVIER
Co-director:WINTER, ANDREAS
Mention:No mention
RELATED PUBLICATIONS
One-shot capacity bounds on the simultaneous transmission of classical and quantum information
Salek, F.; Anshu, A.; Hsieh, M.; Jain, R.; R. Fonollosa, Javier
IEEE transactions on information theory, ISSN: 0018-9448 (JCR Impact Factor-2019: 3.036; Quartil: Q2)
Publication date: 07/10/2019
Journal article

Single-serving quantum broadcast channel with common, individualized, and confidential messages
Salek, F.; Hsieh, M.; R. Fonollosa, Javier
IEEE transactions on information theory, ISSN: 0018-9448 (JCR Impact Factor-2020: 2.501; Quartil: Q2)
Publication date: 12/2020
Journal article

One-shot capacity bounds on the simultaneous transmission of public and private information over quantum channels
2018 IEEE International Symposium on Information Theory
Presentation date: 18/07/2018
Presentation of work at congresses

Publicness, privacy and confidentiality in the single-serving quantum broadcast channel
2019 IEEE International Symposium on Information Theory
Presentation date: 10/07/2019
Presentation of work at congresses

AUTHOR:CASAS MANZANARES, NOÉ
Title:Injection of linguistic knowledge into neural text generation models
Reading date:14/12/2020
Director:RODRIGUEZ FONOLLOSA, JOSE ADRIAN
Co-director:RUIZ COSTA-JUSSA, MARTA
Mention:Industrial Doctorate Mention (Generalitat)
RELATED PUBLICATIONS
Linguistic knowledge-based vocabularies for Neural Machine Translation
Casas, N.; Costa-jussà, Marta R.; Fonollosa, José A. R.; Alonso, J.; Fanlo, R.
Natural language engineering, ISSN: 1469-8110 (JCR Impact Factor-2020: 1.07; Quartil: Q4)
Publication date: 2020
Journal article

A differentiable BLEU loss. Analysis and first results
6th International Conference on Learning Representations
Presentation date: 02/05/2018
Presentation of work at congresses

English-catalan neural machine translation in the biomedical domain through the cascade approach
11th International Conference on Language Resources and Evaluation
Presentation date: 08/05/2018
Presentation of work at congresses

Leveraging rule-based machine translation knowledge for under-resourced neural machine translation models
Machine Translation Summit XVII
Presentation date: 19/08/2019
Presentation of work at congresses

Combining subword representations into word-level representations in the transformer architecture
58th Annual Meeting of the Association for Computational Linguistics
Presentation date: 06/07/2020
Presentation of work at congresses

Syntax-driven iterative expansion language models for controllable text generation
Fourth Workshop Structured Prediction for NLP
Presentation date: 20/11/2020
Presentation of work at congresses

AUTHOR:AMÉZAGA SÀRRIES, ADRIÀ
Title:Design and implementation of an SDR-based multi-frequency ground-based SAR system
Reading date:25/11/2020
Director:LOPEZ MARTINEZ, CARLOS
Co-director:JOVÉ CASULLERAS, ROGER
Mention:Industrial Doctorate Mention (Generalitat)
RELATED PUBLICATIONS
A multi-frequency SDR-based GBSAR: System overview and first results
Amezaga, A.; López-Martínez, C.; Jové, R.
Remote sensing, ISSN: 2072-4292 (JCR Impact Factor-2021: 5.349; Quartil: Q1)
Publication date: 21/04/2021
Journal article

A multi-frequency FMCW GBSAR: system description and first results
2021 IEEE International Geoscience and Remote Sensing Symposium
Presentation date: 2021
Presentation of work at congresses

AUTHOR:ORO GARCÍA, DAVID
Title:Parallel scalability of face detection in heterogeneous multithreaded architectures
Reading date:17/11/2020
Director:HERNANDO PERICAS, FRANCISCO JAVIER
Co-director:MARTORELL BOFILL, XAVIER
Mention:No mention
RELATED PUBLICATIONS
Work-efficient parallel non-maximum suppression kernels
Oro, D.; Fernandez, C.; Martorell, X.; Hernando, J.
Computer journal, ISSN: 0010-4620 (JCR Impact Factor-2020: 1.494; Quartil: Q3)
Publication date: 21/08/2020
Journal article

AUTHOR:PUJOL MIRÓ, ALBA
Title:Learning to extract features for 2D ¿ 3D multimodal registration
Reading date:18/09/2020
Director:RUIZ HIDALGO, JAVIER
Co-director:CASAS PLA, JOSEP RAMON
Mention:No mention
RELATED PUBLICATIONS
Correspondence matching in unorganized 3D point clouds using Convolutional Neural Networks
Pujol, A.; Casas, J.; Ruiz-Hidalgo, J.
Image and vision computing, ISSN: 0262-8856 (JCR Impact Factor-2019: 3.103; Quartil: Q1)
Publication date: 08/03/2019
Journal article

Interactive registration method for 3D data fusion
2016 International Conference on 3D Imaging
Presentation date: 13/12/2016
Presentation of work at congresses

Registration of images to unorganized 3D point clouds using contour cues
25th European Signal Processing Conference
Presentation date: 29/08/2017
Presentation of work at congresses

AUTHOR:RAAFAT HOSNY MOHAMED FAHMY, AHMED
Title:Spatial modulation schemes and modem architectures for millimeter wave radio systems
Reading date:22/07/2020
Director:VIDAL MANZANO, JOSE
Co-director:AGUSTIN DE DIOS, ADRIAN
Mention:International Mention
RELATED PUBLICATIONS
Energy efficient transmit-receive hybrid spatial modulation for large-scale MIMO systems
Raafat Hosny Mohamed Fahm, A.; Sefunç, M.; Agustin, A.; Vidal, J.; Jorswieck, Eduard Axel; Corre, Y.
IEEE transactions on communications, ISSN: 0090-6778 (JCR Impact Factor-2020: 5.083; Quartil: Q1)
Publication date: 01/03/2020
Journal article

Downlink multi-user massive MIMO transmission using receive spatial modulation
Raafat Hosny Mohamed Fahm, A.; Agustin, A.; Vidal, J.
IEEE transactions on wireless communications, ISSN: 1536-1276 (JCR Impact Factor-2020: 7.016; Quartil: Q1)
Publication date: 01/10/2020
Journal article

AUTHOR:SARMIENTO HERNÁNDEZ, SAMAEL
Title:Design and optimization of metro-access networks supporting 5G services
Reading date:26/03/2020
Director:LAZARO VILLA, JOSE ANTONIO
Co-director:SPADARO, SALVATORE
Mention:No mention
RELATED PUBLICATIONS
Random number generation by coherent detection of quantum phase noise
Álvarez, J.; Sarmiento, S.; Lazaro, J.A.; Gene, J. M.; Juan P. Torres
Optics express, ISSN: 1094-4087 (JCR Impact Factor-2020: 3.894; Quartil: Q1)
Publication date: 17/02/2020
Journal article

Split-enabled 350–630 Gb/s optical interconnect with direct detection NOMA-CAP and 7-core multi-core fiber
Sarmiento, S.; Delgado, J.; Altabas, J.A.; Spadaro, S.; Shinada, S.; Furukawa, H.; Vegas, J.; Lazaro, J.A.; Wada, N.
Optics communications, ISSN: 0030-4018 (JCR Impact Factor-2020: 2.31; Quartil: Q3)
Publication date: 15/05/2020
Journal article

Flexible resource provisioning of polarization independent coherent PONs based on non-orthogonal multiple access and multiCAP modulation
Izquierdo, D.; Sarmiento, S.; Barrio, M.; Clemente, J.; Millan, P.; Lazaro, J.A.; Garces, J.I.; Altabas, J.; Puerta, R.; Rommel, S.; Vegas, J.; Tafur, I.
Journal of optical communications and networking, ISSN: 1943-0620 (JCR Impact Factor-2021: 4.508; Quartil: Q1)
Publication date: 07/2021
Journal article

AUTHOR:ONRUBIA IBÁÑEZ, RAÚL
Title:Advanced GNSS-R instruments for altimetric and scatterometric applications
Reading date:13/03/2020
Director:CAMPS CARMONA, ADRIANO JOSE
Co-director:PARK, HYUK
Mention:No mention
RELATED PUBLICATIONS
Vegetation canopy height retrieval using L1 and L5 airborne GNSS-R
Muñoz , F.; Pascual, D.; Onrubia, R.; Park, H.; Camps, A.; Rudiger, C.; Walker, J.; Monerris, A.
IEEE geoscience and remote sensing letters, ISSN: 1558-0571 (JCR Impact Factor-2021: 5.343; Quartil: Q1)
Publication date: 29/11/2021
Journal article

First experimental evidence of wind and swell signatures in L5 GPS and E5A Galileo GNSS-R waveforms
2020 IEEE International Geoscience and Remote Sensing Symposium
Presentation date: 2020
Presentation of work at congresses

Parameter considerations for the retrieval of surface soil moisture from spaceborne GNSS-R
2021 IEEE International Geoscience and Remote Sensing Symposium
Presentation date: 07/2021
Presentation of work at congresses

AUTHOR:CASAMITJANA DÍAZ, ADRIÀ
Title:Study of early stages of Alzheimer's disease using magnetic resonance imaging
Reading date:20/12/2019
Director:VILAPLANA BESLER, VERONICA
Mention:No mention
RELATED PUBLICATIONS
Detection of amyloid-positive cognitively unimpaired individuals using voxel-based machine learning on structural longitudinal brain MRI
Casamitjana, A.; Petrone, P.; Falcón, C.; Artigues, M.; Operto, G.; Cacciaglia, R.; Molinuevo, J.; Vilaplana, V.; Gispert, J. D.
Alzheimer's & dementia, ISSN: 1552-5260 (JCR Impact Factor-2019: 17.127; Quartil: Q1)
Publication date: 01/07/2019
Journal article

Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease: a predictive study
Casamitjana, A.; Petrone, P.; Molinuevo, J.; Gispert, J. D.; Vilaplana, V.
IEEE journal of biomedical and health informatics, ISSN: 2168-2194 (JCR Impact Factor-2019: 5.223; Quartil: Q1)
Publication date: 01/08/2019
Journal article

NeAT: a nonlinear analysis toolbox for neuroimaging
Casamitjana, A.; Vilaplana, V.; Puch, S.; Aduriz, A.; Lopez, C.; Operto, G.; Cacciaglia, R.; Falcón, C.; Molinuevo, J.; Gispert, J. D.
Neuroinformatics, ISSN: 1539-2791 (JCR Impact Factor-2020: 4.085; Quartil: Q2)
Publication date: 25/03/2020
Journal article

Projection to latent spaces disentangles pathological effects on brain morphology in the asymptomatic phase of Alzheimer's disease
Casamitjana, A.; Petrone, P.; Molinuevo, J.; Gispert, J. D.; Vilaplana, V.
Frontiers in neurology, ISSN: 1664-2295 (JCR Impact Factor-2020: 4.003; Quartil: Q2)
Publication date: 28/07/2020
Journal article

AUTHOR:DEL OLMO ALÒS, JAUME
Title:Polar coding for the wiretap broadcast channel
Reading date:22/10/2019
Director:RODRIGUEZ FONOLLOSA, JAVIER
Mention:No mention
RELATED PUBLICATIONS
Polar coding for confidential broadcasting
Del Olmo, J.; R. Fonollosa, Javier
Entropy, ISSN: 1099-4300 (JCR Impact Factor-2018: 2.419; Quartil: Q2)
Publication date: 27/01/2020
Journal article

Polar coding for common message only wiretap broadcast channel
2019 IEEE International Symposium on Information Theory
Presentation date: 11/07/2019
Presentation of work at congresses

Polar coding for the wiretap broadcast channel with multiple messages
IEEE International Symposium on Information Theory 2020
Presentation date: 22/06/2020
Presentation of work at congresses

AUTHOR:MAYORAL LÓPEZ DE LERMA, ARTURO
Title:Integrated IT and SDN Orchestration of multi-domain multi-layer transport networks
Reading date:25/07/2019
Tutor/a:JUNYENT GIRALT, GABRIEL
Director:MUÑOZ GONZALEZ, RAUL
Co-director:VILALTA CAÑELLAS, RICARD
Mention:No mention
RELATED PUBLICATIONS
Multi-layer service provisioning over resilient software-defined partially disaggregated networks
Mayoral, A.; López, V.; López, M.; García, D.; González de Dios , O.; Aguado, A.; Szwedowski, R.; Mrówka, K.; Marques, F.; Stevkovski, Z.; Verchere, D.; Pham Van, Q.; Tancevski, L.; J. Fernández-Palacios
Journal of lightwave technology, ISSN: 0733-8724 (JCR Impact Factor-2020: 4.142; Quartil: Q1)
Publication date: 15/01/2020
Journal article

Gap analysis on open models for partially-disaggregated SDN optical transport environments
2019 Optical Fiber Communications Conference and Exhibition
Presentation date: 03/2019
Presentation of work at congresses

AUTHOR:BARRAGÁN CUESTA, RUBÉN
Title:Lidar remote sensing and co-operative observations: Processing methods and aerosol radiative transfer
Reading date:05/07/2019
Director:ROCADENBOSCH BURILLO, FRANCISCO
Co-director:SICARD, MICHAËL
Mention:International Mention
RELATED PUBLICATIONS
Two-dimensional mineral dust radiative effect calculations from CALIPSO observations over Europe
Granados, M.; Sicard, M.; Papagiannopoulos, N.; Barragan, R.; Bravo, J.; Nicolae, D.
Atmospheric chemistry and physics, ISSN: 1680-7324 (JCR Impact Factor-2019: 2.601; Quartil: Q1)
Publication date: 24/10/2019
Journal article

Ceilometer-based rain-rate estimation: A case-study comparison with S-band radar and disdrometer retrievals in the context of VORTEX-SE
Rocadenbosch, F.; Barragan, R.; Frasier, Stephen J.; Waldinger, J.; Turner, D.D.; Tanamachi, R.; Dawson, D.
IEEE transactions on geoscience and remote sensing, ISSN: 0196-2892 (JCR Impact Factor-2019: 5.855; Quartil: Q1)
Publication date: 12/2020
Journal article

Concept design of a multiwavelength aerosol lidar system with mitigated diattenuation effects and depolarization-measurement capability
27th International Laser Radar Conference
Presentation date: 09/07/2015
Presentation of work at congresses

Direct, longwave radiative forcing of mineral dust: improvement of its estimation by means of tools recently developed by the EARLINET community
27th International Laser Radar Conference
Presentation date: 05/07/2015
Presentation of work at congresses

AUTHOR:SALVADOR AGUILERA, AMAIA
Title:Computer vision beyond the visible: Image understanding through language
Reading date:27/06/2019
Director:GIRÓ NIETO, XAVIER
Co-director:MARQUES ACOSTA, FERNANDO
Mention:No mention
RELATED PUBLICATIONS
Mask-guided sample selection for semi-supervised instance segmentation
Bellver, M.; Salvador, A.; Torres, J.; Giro, X.
Multimedia tools and applications, ISSN: 1380-7501 (JCR Impact Factor-2020: 2.757; Quartil: Q2)
Publication date: 05/07/2020
Journal article

Recipe1M+: a dataset for learning cross-modal embeddings for cooking recipes and food images
Marín, J.; Biswas, A.; Ofli, F.; Hynes, N.; Salvador, A.; Aytar, Y.; Weber, I.; Torralba, A.
IEEE transactions on pattern analysis and machine intelligence, ISSN: 0162-8828 (JCR Impact Factor-2021: 24.314; Quartil: Q1)
Publication date: 01/01/2021
Journal article

Research projects

START DATEEND DATEACTIVITYFINANCING ENTITY
01/05/202330/04/2026Federate Learning and mUlti-party computation Techniques for prostatE cancerCommission of European Communities
01/05/202331/10/2026Data-driven, Integrated, Syncromodal, Collaborative and Optimised urban freight meta model for a new generation of urban logistics and planning with data sharing at European Living LabsCommission of European Communities
01/05/202330/04/2026Renforcer les mécanismes nationaux et régional d’assurance qualité par un processus conjoint d’évaluation et d’accréditation, ERASMUS-EDU-2022-CBHE-STRAND-3101083175Commission of European Communities
31/03/202331/07/2023Se implementa un motor para la conversión de grafema a fonema en catalán y un software de aumentación de vozBarcelona Supercomputing Centre-Centro Nacional de Supercomputación
01/03/202331/12/2023Desarrollo de sistemas de análisis y predicción de la evolución de series temporales mediante redes neuronales y aprendizaje profundoENCERT PREDICT, S.L.
01/02/202331/03/2025TURBulence MOnitoring and forecasting Equipment (TURBO)UNIVERSITY OF DURHAM
16/01/202316/01/20262022 DI 080AGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
01/01/202331/12/2025Xarxa R+D+I en Tecnologies de la Salut (Xartec Salut)AGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
01/01/202330/06/2023Contracte de col·laboració per equipament radio que permeti emular la naturalesa dels contactes de satèl·lits. Simulador capaç de representar el comportament dels satèl·litsFUNDACIÓ i2CAT
01/01/202330/06/2025PRogrammable AI-Enabled DeterminIstiC neTworking for 6GCommission of European Communities
01/01/202330/06/2025AI-powered eVolution towards opEn and secuRe edGe architEcturesCommission of European Communities
01/01/202330/06/2025Beyond 5G Artificial Intelligence Assisted EnergyCommission of European Communities
01/01/202331/12/2023Estudio y viabilidad de técnicas de “RF-Coding” en el ámbito de la capa física de sistemas de comunicaciones. El profesor emérito Sr. Miguel Ángel Lagunas Hernández será colaborador del mismo en relacCTRE.TEC.DE TELECOMUNICACIONS CATAL
01/01/202331/12/2025Xarxa d’Innovació de Noves Tecnologies en Salut MentalAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
01/01/202331/12/2025HUB D'INNOVACIÓ PEDIÀTRICAFondo Europeo de Desarrollo Regional
01/01/202331/10/2023Investigación y desarrollo de algoritmos para el seguimiento de jugadores y pelotas en eventos deportivos.MEDIAPRODUCCIÿN, S.L.
19/12/202231/12/2022Platinum Sponsorship - Deep Learning Barcelona Symposium 202Meta Platforms Inc
01/12/202230/11/2024Herramienta de realidad virtual para el entrenamiento de la población y los servicios de emergencia en caso de inciendio a partir de volúmenes 3D reales y simulaciones CFD.AGENCIA ESTATAL DE INVESTIGACION
01/12/202230/11/2024Percepción y sensado multimodal para vehículos autónomosAGENCIA ESTATAL DE INVESTIGACION
01/12/202230/11/2024Gemelos digitales para agricultura de regadío - subproyecto i2CatAGENCIA ESTATAL DE INVESTIGACION
01/12/202230/11/2024MONITORIZACIÓN DE LA ACTIVIDAD CELULAR MEDIANTE RFAGENCIA ESTATAL DE INVESTIGACION
01/12/202201/12/2023Contrato de colaboració para la utilización de termografía dérmica infrarroja rutinaria en el diagnóstico precoz de pie diabético de alto riesgoFUND.PRIV.INST.INV.BIOMED.BELLVITGE
01/12/202231/12/2024Contato de colaboración para la utilización de termografía dérmica infra-roja rutinaria en el diagnóstico precoz de pie diabético de alto riesgoINSTITUT D'INVESTIGACIÓ EN ATENCIÓ
25/11/202224/11/2024Contracte de col·labació per a l'ús del Deep Learning per a la detecció de logos (DL2Logo) en continguts mediaUGIAT TECHNOLOGIES, S.L.
01/10/202230/09/2025Operator-Centred Enhancement of Awareness in NavigationEuropean Commission
01/10/202230/09/2025Operator-Centered Enhancement of Awareness in NavigationCommission of European Communities
07/09/202230/06/2025Laboratorio para la convergencia comunicaciones y sensing 6G. “6g-CommsensLab”MIN DE ECONOMIA Y COMPETITIVIDAD
06/09/202230/06/2025Laboratorio Abierto Científico-Tecnológico de Investigación en 6G de la UPC (6GOpenLab)MINISTERIO DE ASUNTOS ECONÓMICOS Y TRANSFORMACIÓN DIGITAL
01/09/202231/08/2025Gnss ENvironmEntal and Societal mISsionsAGENCIA ESTATAL DE INVESTIGACION
01/09/202231/08/2026Enabling Virtualized Wireless and Optical Coexistence for 5G and BeyondCommission of European Communities
01/09/202230/06/2024Aplicació de tecnologia diferencial de monitorització magneto-òptica per a l'homogeneïtzació i control de la qualitat dels processos de fermentació del sector agroalimentariGeneralitat de Catalunya. Departament d'Agricultura, Ramaderia i Pesca
15/07/202215/07/2025Contrato de colaboración para la consultoría y soporte en tareas de R&D.United Arab Emirates University (UA
01/07/202231/10/2022NEB Hackathon WeekEUROPEAN INST OF INNOV.& TECHNOL.
16/06/202230/11/2024Convenio de colaboración para la verificación de noticias a través del análisis de imagen y de vídeo mediante técnicas de Inteligencia ArtificialCORPORACION DE RADIO Y TELEVISION E
08/06/202208/06/2022A device, a method, and a computer program, for detecting airborne particulate matter in aerosols
24/05/202224/05/2022Medical system and a device based on microwave technology for prevention and diagnosis of diseases.
11/05/202231/12/2022Contracte de col·laboració per el desenvolupament de les actuacions en l’àmbit de la temàtica de “AI/ML aplicat a RRM en xarxes mòbils 5G i 6G/'FUNDACIÓ i2CAT
02/05/202202/09/2022Contracte de col·laboració sobre l'estimació orbital precisa de satèl·lits GEOSARPOLITECNICO DI MILANO
20/04/202203/10/2022Collaboration contract of concept and technology development of Coherent Array Receiver for optical link augmentation (CAROLINA)Airbus Defence and Space Netherland
01/04/202231/07/2022Contrato de colaboració para la investigación de métodos de detección de género en caras y cuerpos humanos mediante el uso de cámaras RGBVIUME WARDROBE, SOCIEDAD LIMITADA
24/03/202231/12/2022Contracte de col.laboració en TDA 5G RuralFUNDACIÓ i2CAT
16/03/202216/03/2022Dispositivo de obtención de imágenes basado en láminas de luz con profundidad de campo aumentada
15/03/202230/06/2022Contracte de col·laboració per a l'edició i elaboració, tot integrant el contingut de les organitzacions participants i altri, del document del Pla d’impuls de recerca i desenvolupament de la tecnologFUNDACIÓ i2CAT
21/02/202220/02/2024Contrato de colaboración para el Proyecto InPerceptCAPGEMINI ESPAÑA SL
15/02/202230/06/2023Collaboration agreement for Alba L-Band Antenna for Next GenerationCONSTRUCC. AERONAUTICAS, S.A. DIV.
09/02/202231/07/2022Collaboration agreement for GLobal MonItoring of MicroPlastics using GNSS- Reflectometry (GLIMPS) Project: experiment carried out in the ‘Atlantic Basin’ at Deltares (NL)DEIMOS SPACE UK LIMITED
02/02/202201/02/2024Collaboration Agreement to ESA Contract No. 4000136726/21/NL/MGu with Universitat Politècnica de Catalunya - Tuneable Acoustic FilterESA (EUROPEAN SPACE AGENCY)
01/02/202201/02/2024Contrato de colaboración para medidas de antenas en los laboratorios de Antennalab.SPIRE GLOBAL UK LTD
17/01/202230/06/2022Contracte de col·laboració per la digitalització aplicada a la Mobilitat Urbana amb el focus en/'Strategy for a New CARNET Digital Twin Urban Mobility Model-DigiTwinUPC/'FUNDACIO CENTRE D'INNOVACIO I TECNO
01/01/202231/12/2023Soporte y asesoría en la customización de los diseños de antenas avanzados teniendo en cuenta los requisitos específicos derivados de la aplicación en concreto de monitorización de la cabina.IDNEO TECHNOLOGIES SAU
01/01/202231/12/2024Towards a smart and efficient telecom infrastructure meeting current and future industry needsMIN DE ECONOMIA Y COMPETITIVIDAD
01/01/202231/12/2024Herramienta de ayuda a la planificación de servicios avanzados 5G/6GMIN DE ECONOMIA Y COMPETITIVIDAD
01/01/202231/12/2024Desarrollo de un gemelo digital de red para soporte de la planificación de servicios avanzados 5G/6GMIN DE ECONOMIA Y COMPETITIVIDAD
01/01/202231/12/2024Atracción de talento y educación en tecnologías y servicios avanzados 5G/6GMIN DE ECONOMIA Y COMPETITIVIDAD
01/01/202231/12/2022Citizen, Teaching, Industry, Cities for Future MobilityEUROPEAN INST OF INNOV.& TECHNOL.
01/01/202231/12/2022ADVANCED ACTIVE SAFETY SOLUTIONS FOR MICRO-MOBILITY VEHICLESEUROPEAN INST OF INNOV.& TECHNOL.
01/01/202231/12/2022New Trends on Urban MobilityEUROPEAN INST OF INNOV.& TECHNOL.
01/01/202231/12/2022Urban Air Traffic Management DEVelOpment & DEMOnstrationEUROPEAN INST OF INNOV.& TECHNOL.
01/01/202231/12/2022Advanced active safety solutions for micro-mobility vehiclesEUROPEAN INST OF INNOV.& TECHNOL.
01/01/202231/12/2023Contrato de colaboración para la def. de un nuevo modelo de dimensionado de capacidad que evolucione el concepto de calidad de servicio genérico actual hacia una calidad de experiencia particularizadaTELEFÓNICA MÓVILES ESPAÑA, S.A.
01/01/202201/03/2023Top Rosies TalentDIGITAL FUTURE SOCIETY; HP Printing and Computing Solutions, S.L.U .
01/01/202231/12/2024Siguiente generación de instrumentación para caracterizar la interfaz superficie-subsuperficie en exploración planetaria: sensores de viento para Marte y sondas para regolitoMINISTERIO DE CIENCIA, INNOVACIÓN Y UNIVERSIDADES
01/01/202231/12/2024Grup de Processament del Senyal i Comunicacions (Signal Processing and Communications)AGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
01/01/202231/08/2024Components and Systems for Communications Research Group (CSC)AGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
14/12/202131/12/2021Sponsorship Deep Learning BCN Symp. 2021FACEBOOK
10/12/202131/12/2022Analysis, design and prototyping of a mmWave Reconfigurable Multi-beam Antenna Repeater to give coveragebto a cellular network deployment, including beam conformation& selection and radiating and switHUAWEI TECHNOLOGIES ITALIA S.R.L.
01/12/202130/11/2024Robots para la asistencia continua y personalizada capaces de explicar-se a si mismosAGENCIA ESTATAL DE INVESTIGACION
01/12/202130/11/2023Cámara polarimétrica de división de apertura para imagen en medios turbiosAGENCIA ESTATAL DE INVESTIGACION
01/12/202130/11/2023Prueba de cOncepto de una solución para compaRTir la Red de Acceso radio basada en Inteligencia arTificialAGENCIA ESTATAL DE INVESTIGACION
29/11/202128/11/2023Collaboration contract for dynamic slice-split management (SESAME)HUAWEI TECHNOLOGIES SWEDEN AB
24/11/202124/11/2021A Communication Device and Signal Processing Method
02/11/202131/01/2022Técnicas de aprendizaje para problemas de sesgo de géneroTELEFONICA I + D, S.A.UNIP.
01/11/202131/10/2024Beyond 5G – OPtical nEtwork coNtinuumEUROPEAN COMMISSION
01/11/202130/10/2023Life in the AI EraCommission of European Communities
18/10/202117/10/2025Intelligence-Enabling Radio Communications for Seamless Inclusive InteractionsEuropean Cooperation in Science and Technology; Unión Europea
07/10/202107/10/2021Método para medida de la intención de paso en medios de control de acceso y programas de ordenador del mismo
07/10/202107/10/2021Método para evaluar la atención de un sujeto que transita por una determinada zona y programas de ordenador del mismo
01/10/202130/09/2024Beca doctorat INPhINIT RetainingFUNDACIO LA CAIXA
01/10/202130/09/2024Movilidad en la ciudad del futuro. Preparar a las ciudades para la nueva movilidad 2030 a través de las 4 universidades politécnicas españolasAGENCIA ESTATAL DE INVESTIGACION
20/09/202131/12/2021AI and Music S+T+ARTS FestivalAbleton AG
15/09/202131/05/2022Extension of collaboration contract for the development and implementation of a CFR (crest factor reduction) algorithm aimed to reduce the PAPR (peak to average power ratio) of communications signalsSOFTWARE RADIO SYSTEMS LIMITED
15/09/202115/09/2021Light sheet-based imaging device with extended depth of field
01/09/202131/12/2021Asesoramiento para la dotación de un laboratorio de selección y calibración de sensores microfónicos susceptibles de ser incorporados a los productos que comercializa la empresa.ACTREG
01/09/202131/08/2024Enfoques sinérgicos para una nueva generación de productos y aplicaciones de observación de la TierraAGENCIA ESTATAL DE INVESTIGACION
01/09/202131/08/2024Inteligencia artificial insesgada y explicable para imágenes médicasAGENCIA ESTATAL DE INVESTIGACION
01/09/202131/08/2024AI-powered Intent-Based packet and Optical transport Networks and edge and cloud computing for beyond 5GAGENCIA ESTATAL DE INVESTIGACION
01/09/202131/08/2024Acceso Radio inTeligente con Integración de diSposiTivos de usuarioAGENCIA ESTATAL DE INVESTIGACION
01/09/202131/08/2024Técnicas Radar para la Observación Continua de la Tierra: Sistemas y ProcesadoAGENCIA ESTATAL DE INVESTIGACION
01/09/202131/08/2024Investigación en futuras redes totalmente optimizadas mediante inteligencia artificial-BAGENCIA ESTATAL DE INVESTIGACION
01/09/202131/08/2024Aprendizaje Profundo Eficiente para Secuencias de Video y Nubes de PuntosAGENCIA ESTATAL DE INVESTIGACION
01/09/202131/08/2024Resonadores y filtros electro-acústicos para aplicaciones 5G sub-6 GHzAGENCIA ESTATAL DE INVESTIGACION
01/09/202131/08/2024Dispositivos asistidos por técnicas de deep y machine learning para transceptores de radiofrecuencia altamente eficientesAGENCIA ESTATAL DE INVESTIGACION
01/08/202115/12/2023Detectability of humpback and gray whales in satellite imagery off California.The Nature Conservancy
01/08/202131/12/2021PERFORMANCE ANALYSIS of Concept and Technology Development of Coherent Array Receiver for Optical Link AugmentationAirbus Defence and Space
20/07/202130/06/2023Ampliació del contracte de col·laboració per el desenvolupament de les actuacions en l'àmbit de la temàtica “Space Communications/'FUNDACIÓ i2CAT
15/07/202115/07/2022AI&MUSICADVANCED MUSIC SL
05/07/202131/12/2024Extension of collaboration contract for teach course(s) to CUMT undergraduate students on the subject of Remote Sensing, conduct online academic exchange, supervise PhD studentsChina University of Mining and Tech
01/07/202130/11/2022HIGH-TECH AND AFFORDABLE 5G NETWORK ROLL-OUT TO EVERY CORNERCommission of European Communities
01/07/202101/07/2024Ciberseguridad Vehicular en el Ecosistema IoT en Smart CitiesAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
04/06/202130/06/2024Antennae Resilient Technologies and SystemsCONSTRUCC. AERONAUTICAS, S.A. DIV.
01/06/202131/12/2023Consultoria diseño y fabricación del radiómetro de microondas de la misión CIMR (Copernicus Imaging Microwave Radiometer) y curso de formaciónThales Alenia Space
01/06/202131/12/2024Extension of collaboration contract between UPC and CUMT for carrying out joint research projects; exchange of faculty members depending on financial abilities of the partners; exchange of sci publicChina University of Mining and Tech
13/04/202128/02/2022Estudio sobre la necesidad de modificar los procedimientos de control de los niveles de emisiones radioeléctricas de las estaciones base por la incorporación de la tecnología 5G.COL.OFICIAL INGEN. DE COMUNICACION
13/04/202113/04/2021Multinlingual translator
01/04/202131/03/2025Solutions for Sustainable Access to Atmospheric Research FacilitiesCommission of European Communities
15/03/202115/03/2024Desenvolupament de nous algorismes de Fully-Focused Delay-Doppler Processing (FF-DDP) per a la millora de la resolució actual de les dades d’altimetria radarAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
02/03/202102/03/2021A method, system and computer programs to automatically transform an image
01/03/202128/02/2025Industrial Doctorate Training Network on Future Wireless Connected and Automated Industry enabled by 5GCommission of European Communities
23/02/202123/02/2021A method and a system for detecting microweve signals which carry information of the functional dynamics of biological particles
01/01/202131/12/2023MOVILIDAD 2030ADVANCED AUTOMOTIVE ANTENNAS, S.L.
01/01/202131/12/2021WUM- Women in Urban Mobility (WUM).EUROPEAN INST OF INNOV.& TECHNOL.
01/01/202131/12/2025EUROfusionCommission of European Communities
18/12/202031/12/2022Expert Consultancy AgreementBeijing Xiaomi Mobile Software Co.,
17/12/202030/11/2023Evaluate the viability of Coated Conductors (CC) tapes as elements for the beam screen for FCC-hh based on the results obtained in the previous phase.CERN (Organització Europea per a la
15/12/202015/12/2023Organitzation of anual public international academic conference-workshop on the next generation optical communication network Evolution and Key Enabling Technologies, during three years.HUAWEI TECHNOLOGIES Duesseldorf Gmb
15/12/202015/12/2023Injection molded antennas for mass productionAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
01/12/202031/01/2022 Lifelong UNiversal lAnguage RepresentationEuropean Research Council (ERC)
01/12/202031/10/2021Divulgació de la IA a nivell de societatGeneralitat de Catalunya. Departament de la Vicepresidencia i de Politiques Digitals i Territori
16/11/202016/11/2021Realització de campanya de monitoratge permanent radar de conreus controlats en camp de test de la ESAB. En el projecte participen investigadors de CommSensLab - RSLAB del Dept. de TSC i InvestigadorsEUROPEAN SPACE AGENCY (ESA) - ESTEC
10/11/202010/11/2020FILTRAW: Software for the synthesis of acoustic filters in ladder configuration
01/11/202030/04/2023Ampliación del contrato de colaboración para acceder a los laboratorios de la UPC para la realización de ensayosMIWENDO SOLUTIONS, S.L
01/10/202031/12/2023Contrato de colaboración para el desarrollo de los algoritmos de inteligencia artificial visualPALEX MEDICAL, S.A.
01/10/202030/12/2022Ampliació del contracte de col·laboració per a l'ús d'algoritmes de Deep Learning en l'estimació d'audiències de sèries de TV i películesUGIAT TECHNOLOGIES, S.L.
01/10/202031/12/2020Acoustic wave filter synthesis toolESA (EUROPEAN SPACE AGENCY)
01/09/202031/12/2020ARTIFICIAL VISION FOR KICK SCOOTERSFUNDACIO C INNOVACIO I TEC CIT UPC
15/08/202031/12/2022Xarxa R+D+I en Tecnologies de la Salut (XarTEC SALUT)AGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
07/08/202030/11/2023Implementación de medicina personalizada en pacientes con melanoma maligno asistidos por inteligencia artificialLA FUNDACIÓ LA MARATÓ DE TV3
15/07/202013/07/2021Thermally controlled ONUs for continuous multiple access in high-quality 50G PON. Huawei Agreement No: YBN2020075039HUAWEI TECHNOLOGIES Duesseldorf Gmb
02/07/202031/05/2021Research image enhancement technologies better adapted to realistic broadcasting uses, addressing any inconsistencies when applying colourisation on still images, as well as powering the ability to geBBC-BRITISH BROADCASTING CORP
01/07/202014/03/2024Ampliació del contracte de col·laboració per el desenvolupament de sistemes de mesura per a la caracterització de materials (constant dielèctrica) per l'ús en sistemes d'automoció com radio FM...ZANINI AUTO GRUP, S.A.
01/07/202031/12/2022Xarxa Fourth Industrial RevolutionAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
01/07/202031/12/2024SMOS Expert Support Laboratory (ESL) for SMOS Level 1 and Level 2 over Land, Ocean and IceElecnor Deimos
17/06/202017/06/2020CRF design tool. Four order Filters based on two identical CRF sections
01/06/202030/11/2023Sistemas radiantes x-Wave integradas de comunicaciones y sensorizaciónAGENCIA ESTATAL DE INVESTIGACION
01/06/202031/05/2024Extension of the collaboration contract for the envelope Tracking PAsHUAWEI TECHNOLOGIES Co
01/06/202031/01/2024Avances en codificación y procesado de señal para la sociedad digitalAGENCIA ESTATAL DE INVESTIGACION
01/06/202031/12/2023Métodos robustos para inferencia estadística, integridad de datos y gestión de interferencia - 2AGENCIA ESTATAL DE INVESTIGACION
01/06/202031/05/2024Arquitecturas avanzadas de Aprendizaje Profundo aplicadas al Procesado de Voz, Audio y LenguajeAGENCIA ESTATAL DE INVESTIGACION
01/06/202029/02/2024Tecnologías radio para comunicaciones ubicuas en la evolución de 5G a 6GAGENCIA ESTATAL DE INVESTIGACION
01/06/202031/12/2020EIT InnoEnergy Customised course on spoken and oral communication skills for engineersEUROPEAN INST OF INNOV.& TECHNOL.
02/04/202002/04/2020AWR library nonlinear BAW components
20/03/202019/03/2021Interlingua-based neural machine translation to reduce complexity and better exploit low-resources in highly multilingual environments (YEAR 2)GOOGLE
01/03/202001/08/2023“A-PARK-AS-Tecnologías para la Automatización de operaciones en aPARKAmientos confiables y ciberSegurosADVANCED AUTOMOTIVE ANTENNAS, S.L.
01/02/202031/01/2024Ampliación del contrato de colaboración para la prestación de asesoramiento técnico y de representación de SATELIOT ante el organismo de estandarización 3GPPSATELIO IOT SERVICES, S.L.
01/01/202031/12/2022COMONSENS NetworkAGENCIA ESTATAL DE INVESTIGACION
01/01/202031/12/2023Aerosol, Clouds and Trace Gases Research Infrastructure Implementation ProjectCommission of European Communities
01/01/202031/12/2020Living lab e-micromobilityEUROPEAN INST OF INNOV.& TECHNOL.
01/01/202031/12/2020CITYTHONEUROPEAN INST OF INNOV.& TECHNOL.
01/01/202030/06/2023Sinergia de teledetección pasiva y activa para la investigación de las interaciones aerosoles-nubes (RESA-CI)AGENCIA ESTATAL DE INVESTIGACION
01/01/202031/12/2020Top Secret RosiesAjuntament de Barcelona
01/01/202031/12/2025Bulk Acoustic Wave (BAW) and Suface Acoustic Wave ModelingTriQuint Semiconductor, Inc
31/12/201928/02/2023Extension of the collaboration contract for deployable Reflector Antenna for Cubesat MissionsCOMET INGENIERIA SL
22/11/201931/12/2019Sponsorship Deep Learning BCN Symposium (Barcelona, Thursday 19th & Friday 20th of December 2019)Facebook Ireland Limited
18/11/201930/11/2020Virtual Market Image Analysis (VMIA)UGIAT TECHNOLOGIES, S.L.
01/11/201928/02/2023Beyond 5G multi-tenant private networks integrating Cellular, WiFi, and LiFi, Powered by ARtificial Intelligence and Intent Based PolicYCommission of European Communities
21/10/201931/12/2019Advising and leading the Company on the successful development of the so-called balanced tangential method-of-moment formulation for the EM scattering analysis of perfectly conducting plates (or similALTAIR SOFTWARE AND SERVICES SL
01/10/201930/09/2021Representación Universal del Lenguaje aprendida automáticamenteAGENCIA ESTATAL DE INVESTIGACION
01/10/201930/09/2022Beca de Doctorat INPhINITFUNDACIO LA CAIXA
03/09/201931/12/2019Anàlisi teòric i la seva aplicació en un prototip del concepte “Multi-Element Antenna Beamforming into the automotive sector”.FUNDACIO C INNOVACIO I TEC CIT UPC
01/09/201931/07/2020Research and development of Optical Area Networks for Vehicles.ALTRAN INNOVACIÓN,S.L.U.
01/09/201931/12/2019El objeto del convenio es el estudio e implementación de un módulo “software” para llevar a cabo la estimación de canal en el enlace de bajada (downlink) de un sistema de comunicaciones móviles 4G (esSOFTWARE RADIO SYSTEMS LIMITED
01/09/201928/02/2023GAVIUS: from reactive to proactive public administrationsCommission of European Communities
01/08/201931/12/2019Curs tècnic en eines i tecnologies de xarxes mòbils 5GSERV. D'OCUPACIÓ CATALUNYA
24/07/201911/10/2022Improvement in the Precision of InSAR Time-Series exploiting In-Situ Sensors and Optical DataAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
08/07/201903/06/2020Deep learning applied to video analysisToshiba Research Europe Limited
28/06/201930/09/2023Action RecognitionAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
28/06/201930/09/2023Image UnderstandingAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
28/06/201930/09/2023Multimodal Speech RecognitionAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
10/06/201910/06/2019Software tool for the Synthesis of Transversal Filters
01/06/201931/12/2020Habilitando una gestión holística de recursos de comunicación/computación/caché mediante cobertura tridimensionalAGENCIA ESTATAL DE INVESTIGACION
01/06/201931/12/2019Royalties for sales of Language ResourcesELDA
24/05/201924/05/2019ECG Synchronizer - Source Code
02/05/201902/10/2019Recompte i control d'arribada de participants en la línia de meta de curses atlètiquesDAPCOM-DATA SERVICES SL
01/05/201931/10/2019Sistema integrat per a la detecció de vehicles pesats en movimentAgència de Gestió d'Ajuts Universitaris i de Recerca (Agaur)
01/05/201931/10/2019SISTEMA INTEGRAT PER A LA DETECCIÓ DE VEHICLES PESATS EN MOVIMENTAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
24/04/201911/07/2022Mobile Communication Technology 5GAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
23/04/201921/05/2019Assessorament en el disseny, fabricació i caracterització d'una antena que cobreixi les bandes de 698-960 MHz i 1710-2700MHzAKO ELECTROMECÀNICA S.A.
10/04/201910/04/2020Recerca i desenvolupament en l'àmbit de la mesura de les característiques dielèctriques i resposta de sistemes de radar een la banda de freqüències mil·limètriquesZANINI AUTO GRUP, S.A.
29/03/201929/03/2020Knowledge-based wireless network planning and optimizationSILICON VALLEY COMMUNITY FOUNDATION
22/03/201928/08/2023Development of GRASP radiative transfer code for the retrieval of aerosol microphysics vertical-profiles from space measurements and its impact in ACE missionCommission of European Communities
20/03/201919/03/2020Interlingua-based neural machine translation to reduce complexity and better exploit low-resources in highly multilingual environmentsGOOGLE
01/03/201931/12/2020MANAGEMENT OF RADIO ACCESS NETWORK SLICING WITH MULTI-APPLICATION CONCURRENCYCommission of European Communities
01/03/201930/06/2019Projectes d'investigació i desenvolupament en l'àrea d'aplicacions dels llenguatge i de la parlaFUNDACIO C INNOVACIO I TEC CIT UPC
01/03/201928/02/2020Projecte d'aula informàtica a una escola del SenegalCentre de Cooperació per al Desenvolupament , UPC
01/03/201928/02/2020Desenvolupament d’un sistema de baix cost per al diagnòstic de malària, tuberculosi i malalties tropicals desateses a través d’imatges de microscopi.Centre Cooperació per al Desenvolupament
28/01/201928/02/2019contrato de R+D AST SCIENCEAST&SCIENCE IBERIA, SOCIEDAD LIMITA
01/01/201930/09/2019Deep learning generative algorithms fos speech synthesisTELEFONICA I + D, S.A.UNIP.
01/01/201931/12/2021A European AI On Demand Platform and EcosystemCommission of European Communities
01/01/201931/12/2020EUROfusion - Image Processing for Plasma Facing Components ProtectionCommission of European Communities
01/01/201931/12/2021Sensing with pioneering opportunistic techniquesAGENCIA ESTATAL DE INVESTIGACION
01/01/201931/12/2022RED OPTICA COHERENTE VERSATILAGENCIA ESTATAL DE INVESTIGACION
01/01/201931/12/2021Robótica en la Nube y el Impacto de las Redes 5G en la Fábrica del Futuro. Subproyecto UPCAGENCIA ESTATAL DE INVESTIGACION
01/01/201930/06/2022Drone research laboratory for the integration of mobile communicationsAGENCIA ESTATAL DE INVESTIGACION
01/01/201931/12/2021Cátedra Telefónica - 4TELEFÓNICA MÓVILES ESPAÑA, S.A.
01/01/201931/12/2022Integrating wireless communication engineering and machine learningEuropean Commission
01/01/201931/12/2019EIT Urban Mobility Start-up phaseEIT Urban Mobility
01/01/201930/09/2022NUEVOS EFECTOS EN PLATAFORMAS DE GUIAS DE ONDA ANISOTROPASAgencia Estatal de Investigación
01/12/201830/09/2019Processament digital de imatges per l'anàlisi automàtic de continguts audiovisuals 2UGIAT TECHNOLOGIES, S.L.
31/10/201831/10/2023Beques doctorat INPhiNIT - Fundació Bancària La CaixaFUNDACIO LA CAIXA
01/10/201828/02/2019Acoustic Transversal FiltersESA (EUROPEAN SPACE AGENCY)
07/09/201807/09/2018Method and system for signal processing
01/08/201817/01/2020Phase A/B1 of passive microwave imaging mission L1B processor development.CONSTRUCC. AERONAUTICAS, S.A. DIV.
01/07/201831/12/2019HTSCoated Conductors for FCC beam screenCERN (Organització Europea per a la
01/07/201830/09/2018Development of an annotated textual corpus in Spanish and Catalan for cyberbullying detection among children and adolescentsSAFETONET LIMITED; FUNDACIÓ BARCELONA MOBILE WORLD CAPITAL FOUNDATION
08/06/201808/06/2018Filter circuits having acoustic wave resonators in a transversal configuration
01/05/201831/08/2018Projecte d'R+D referent a sistemes de medició de pes i marcatge de porcs.AGROPECUARIA SANT SALVADOR SCP
25/04/201825/09/2018Suport al disseny, suport al desenvolupament i assessorament pel sistema d'anàlisi amb deep learning del bot d'una pilota de tennis a partir d'imatges de video.FOXTENN BGREEN SL
11/04/201830/06/2019Advance receiver for future L-band radiometerTRYO AEROSPACE FLIGHT
02/04/201802/04/2018Sistema y método para la detección y eliminación en tiempo real de interferencias de radiofrecuencia
01/04/201831/01/2019Disseny i mesura de materials plàstics per a aplicacions per a radoms en automoció.ZANINI AUTO GRUP, S.A.
07/03/201807/03/2018Scaling factor calculation for the nonlinear performance of acoustic resonators
01/03/201831/03/2018Estudi de viabilitat d'una eina d'anàlisi d'imatge que permeti detectar lesions d'acne mitjançant el telèfon mòbil.SKIN COACH, S.L.
01/03/201829/02/2020Federated satellite system 6U tandem mission for sea ice and soil moisture monitoringDEIMOS ENGENHARIA SA
01/03/201828/02/2019CCD 2018-O003 Projecte TIC a Bretawati, NepalCentre de Cooperació per al Desenvolupament , UPC
01/03/201828/02/2019CCD 2018-S002 AUCOOP com a eina de la UPC per a sensibilitzar i involucrar alumnes en activitats de cooperacióCentre de Cooperació per al Desenvolupament , UPC
20/02/201830/06/2019Research agreement on investigation of nonlinear effects in connectorsHUAWEI TECHNOLOGIES SWEDEN AB
09/02/201809/08/2021Combinació de models neuronals amb models estadístics en traducció automàticaAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
09/02/201829/10/2021Deep learning for video analytics in sport eventsAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
01/01/201830/09/2021Diseñando una infraestructura de red 5G definida mediante conocimiento hacia la próxima sociedad digital-BAGENCIA ESTATAL DE INVESTIGACION
01/01/201830/09/2021Mejoras de las características de nivel 1 de SMOS y futuras misionesAGENCIA ESTATAL DE INVESTIGACION
01/01/201830/09/2021Sobre la continuidad de las misiones satelitales de banda L: nuevos paradigmas en productos y aplicaciones.AGENCIA ESTATAL DE INVESTIGACION
01/01/201830/09/2021Softwarización y optimización automática de redes de acceso radio 5G multi-tenantAGENCIA ESTATAL DE INVESTIGACION
01/01/201830/09/2021Sensores para aplicaciones multi-escala en teledetecciónAGENCIA ESTATAL DE INVESTIGACION
01/01/201830/09/2021Soluciones Avanzadas de Procesado Digital de Señal para Componentes y Sistemas de Nueva Radio 5G Energética yAGENCIA ESTATAL DE INVESTIGACION
01/01/201830/06/2021CogniTive 5G application-aware optical metro netWorks Integrating moNitoring, data analyticS and optimizationAGENCIA ESTATAL DE INVESTIGACION
01/01/201830/09/2021Sensores gravimétricos de gases basados en resonadores electro-acústicos de AIN para aplicaciones en temperaturas extremasAGENCIA ESTATAL DE INVESTIGACION
01/01/201831/12/2019Desenvolupament de sensors RFID de temperatura i altres optimitzats per a treballar a l'interior del formigóCHATU TECH SL
01/01/201831/12/2018Assesorament a la recerca en RF i sistemes de microonesCTRE.TEC.DE TELECOMUNICACIONS CATAL
01/01/201831/12/2020Laboratorio de integración avanzada en bandas milimétricas para comunicaciones xG, biosensores y aplicaciones espacialesAGENCIA ESTATAL DE INVESTIGACION
01/01/201830/06/2022001-P-001644_ Agrupació Emergent en Tecnologies Quàntiques de Catalunya (QUANTUM)GENCAT - DEPT. D'EMPRESA I OCUPACIO
25/09/201331/12/2024Desenvolupament de software i llicència d'ús GRECO 2013SAAB AB
07/04/199331/12/2024Graphical RCS AlgorithmARCON corporation

Teaching staff and research groups

Teachers

Doctoral Programme teachers:

Research projects

START DATEEND DATEACTIVITYFINANCING ENTITY
01/05/202330/04/2026Federate Learning and mUlti-party computation Techniques for prostatE cancerCommission of European Communities
01/05/202331/10/2026Data-driven, Integrated, Syncromodal, Collaborative and Optimised urban freight meta model for a new generation of urban logistics and planning with data sharing at European Living LabsCommission of European Communities
01/05/202330/04/2026Renforcer les mécanismes nationaux et régional d’assurance qualité par un processus conjoint d’évaluation et d’accréditation, ERASMUS-EDU-2022-CBHE-STRAND-3101083175Commission of European Communities
31/03/202331/07/2023Se implementa un motor para la conversión de grafema a fonema en catalán y un software de aumentación de vozBarcelona Supercomputing Centre-Centro Nacional de Supercomputación
01/03/202331/12/2023Desarrollo de sistemas de análisis y predicción de la evolución de series temporales mediante redes neuronales y aprendizaje profundoENCERT PREDICT, S.L.
01/02/202331/03/2025TURBulence MOnitoring and forecasting Equipment (TURBO)UNIVERSITY OF DURHAM
16/01/202316/01/20262022 DI 080AGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
01/01/202331/12/2025Xarxa R+D+I en Tecnologies de la Salut (Xartec Salut)AGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
01/01/202330/06/2023Contracte de col·laboració per equipament radio que permeti emular la naturalesa dels contactes de satèl·lits. Simulador capaç de representar el comportament dels satèl·litsFUNDACIÓ i2CAT
01/01/202330/06/2025PRogrammable AI-Enabled DeterminIstiC neTworking for 6GCommission of European Communities
01/01/202330/06/2025AI-powered eVolution towards opEn and secuRe edGe architEcturesCommission of European Communities
01/01/202330/06/2025Beyond 5G Artificial Intelligence Assisted EnergyCommission of European Communities
01/01/202331/12/2023Estudio y viabilidad de técnicas de “RF-Coding” en el ámbito de la capa física de sistemas de comunicaciones. El profesor emérito Sr. Miguel Ángel Lagunas Hernández será colaborador del mismo en relacCTRE.TEC.DE TELECOMUNICACIONS CATAL
01/01/202331/12/2025Xarxa d’Innovació de Noves Tecnologies en Salut MentalAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
01/01/202331/12/2025HUB D'INNOVACIÓ PEDIÀTRICAFondo Europeo de Desarrollo Regional
01/01/202331/10/2023Investigación y desarrollo de algoritmos para el seguimiento de jugadores y pelotas en eventos deportivos.MEDIAPRODUCCIÿN, S.L.
19/12/202231/12/2022Platinum Sponsorship - Deep Learning Barcelona Symposium 202Meta Platforms Inc
01/12/202230/11/2024Herramienta de realidad virtual para el entrenamiento de la población y los servicios de emergencia en caso de inciendio a partir de volúmenes 3D reales y simulaciones CFD.AGENCIA ESTATAL DE INVESTIGACION
01/12/202230/11/2024Percepción y sensado multimodal para vehículos autónomosAGENCIA ESTATAL DE INVESTIGACION
01/12/202230/11/2024Gemelos digitales para agricultura de regadío - subproyecto i2CatAGENCIA ESTATAL DE INVESTIGACION
01/12/202230/11/2024MONITORIZACIÓN DE LA ACTIVIDAD CELULAR MEDIANTE RFAGENCIA ESTATAL DE INVESTIGACION
01/12/202201/12/2023Contrato de colaboració para la utilización de termografía dérmica infrarroja rutinaria en el diagnóstico precoz de pie diabético de alto riesgoFUND.PRIV.INST.INV.BIOMED.BELLVITGE
01/12/202231/12/2024Contato de colaboración para la utilización de termografía dérmica infra-roja rutinaria en el diagnóstico precoz de pie diabético de alto riesgoINSTITUT D'INVESTIGACIÓ EN ATENCIÓ
25/11/202224/11/2024Contracte de col·labació per a l'ús del Deep Learning per a la detecció de logos (DL2Logo) en continguts mediaUGIAT TECHNOLOGIES, S.L.
01/10/202230/09/2025Operator-Centred Enhancement of Awareness in NavigationEuropean Commission
01/10/202230/09/2025Operator-Centered Enhancement of Awareness in NavigationCommission of European Communities
07/09/202230/06/2025Laboratorio para la convergencia comunicaciones y sensing 6G. “6g-CommsensLab”MIN DE ECONOMIA Y COMPETITIVIDAD
06/09/202230/06/2025Laboratorio Abierto Científico-Tecnológico de Investigación en 6G de la UPC (6GOpenLab)MINISTERIO DE ASUNTOS ECONÓMICOS Y TRANSFORMACIÓN DIGITAL
01/09/202231/08/2025Gnss ENvironmEntal and Societal mISsionsAGENCIA ESTATAL DE INVESTIGACION
01/09/202231/08/2026Enabling Virtualized Wireless and Optical Coexistence for 5G and BeyondCommission of European Communities
01/09/202230/06/2024Aplicació de tecnologia diferencial de monitorització magneto-òptica per a l'homogeneïtzació i control de la qualitat dels processos de fermentació del sector agroalimentariGeneralitat de Catalunya. Departament d'Agricultura, Ramaderia i Pesca
15/07/202215/07/2025Contrato de colaboración para la consultoría y soporte en tareas de R&D.United Arab Emirates University (UA
01/07/202231/10/2022NEB Hackathon WeekEUROPEAN INST OF INNOV.& TECHNOL.
16/06/202230/11/2024Convenio de colaboración para la verificación de noticias a través del análisis de imagen y de vídeo mediante técnicas de Inteligencia ArtificialCORPORACION DE RADIO Y TELEVISION E
08/06/202208/06/2022A device, a method, and a computer program, for detecting airborne particulate matter in aerosols
24/05/202224/05/2022Medical system and a device based on microwave technology for prevention and diagnosis of diseases.
11/05/202231/12/2022Contracte de col·laboració per el desenvolupament de les actuacions en l’àmbit de la temàtica de “AI/ML aplicat a RRM en xarxes mòbils 5G i 6G/'FUNDACIÓ i2CAT
02/05/202202/09/2022Contracte de col·laboració sobre l'estimació orbital precisa de satèl·lits GEOSARPOLITECNICO DI MILANO
20/04/202203/10/2022Collaboration contract of concept and technology development of Coherent Array Receiver for optical link augmentation (CAROLINA)Airbus Defence and Space Netherland
01/04/202231/07/2022Contrato de colaboració para la investigación de métodos de detección de género en caras y cuerpos humanos mediante el uso de cámaras RGBVIUME WARDROBE, SOCIEDAD LIMITADA
24/03/202231/12/2022Contracte de col.laboració en TDA 5G RuralFUNDACIÓ i2CAT
16/03/202216/03/2022Dispositivo de obtención de imágenes basado en láminas de luz con profundidad de campo aumentada
15/03/202230/06/2022Contracte de col·laboració per a l'edició i elaboració, tot integrant el contingut de les organitzacions participants i altri, del document del Pla d’impuls de recerca i desenvolupament de la tecnologFUNDACIÓ i2CAT
21/02/202220/02/2024Contrato de colaboración para el Proyecto InPerceptCAPGEMINI ESPAÑA SL
15/02/202230/06/2023Collaboration agreement for Alba L-Band Antenna for Next GenerationCONSTRUCC. AERONAUTICAS, S.A. DIV.
09/02/202231/07/2022Collaboration agreement for GLobal MonItoring of MicroPlastics using GNSS- Reflectometry (GLIMPS) Project: experiment carried out in the ‘Atlantic Basin’ at Deltares (NL)DEIMOS SPACE UK LIMITED
02/02/202201/02/2024Collaboration Agreement to ESA Contract No. 4000136726/21/NL/MGu with Universitat Politècnica de Catalunya - Tuneable Acoustic FilterESA (EUROPEAN SPACE AGENCY)
01/02/202201/02/2024Contrato de colaboración para medidas de antenas en los laboratorios de Antennalab.SPIRE GLOBAL UK LTD
17/01/202230/06/2022Contracte de col·laboració per la digitalització aplicada a la Mobilitat Urbana amb el focus en/'Strategy for a New CARNET Digital Twin Urban Mobility Model-DigiTwinUPC/'FUNDACIO CENTRE D'INNOVACIO I TECNO
01/01/202231/12/2023Soporte y asesoría en la customización de los diseños de antenas avanzados teniendo en cuenta los requisitos específicos derivados de la aplicación en concreto de monitorización de la cabina.IDNEO TECHNOLOGIES SAU
01/01/202231/12/2024Towards a smart and efficient telecom infrastructure meeting current and future industry needsMIN DE ECONOMIA Y COMPETITIVIDAD
01/01/202231/12/2024Herramienta de ayuda a la planificación de servicios avanzados 5G/6GMIN DE ECONOMIA Y COMPETITIVIDAD
01/01/202231/12/2024Desarrollo de un gemelo digital de red para soporte de la planificación de servicios avanzados 5G/6GMIN DE ECONOMIA Y COMPETITIVIDAD
01/01/202231/12/2024Atracción de talento y educación en tecnologías y servicios avanzados 5G/6GMIN DE ECONOMIA Y COMPETITIVIDAD
01/01/202231/12/2022Citizen, Teaching, Industry, Cities for Future MobilityEUROPEAN INST OF INNOV.& TECHNOL.
01/01/202231/12/2022ADVANCED ACTIVE SAFETY SOLUTIONS FOR MICRO-MOBILITY VEHICLESEUROPEAN INST OF INNOV.& TECHNOL.
01/01/202231/12/2022New Trends on Urban MobilityEUROPEAN INST OF INNOV.& TECHNOL.
01/01/202231/12/2022Urban Air Traffic Management DEVelOpment & DEMOnstrationEUROPEAN INST OF INNOV.& TECHNOL.
01/01/202231/12/2022Advanced active safety solutions for micro-mobility vehiclesEUROPEAN INST OF INNOV.& TECHNOL.
01/01/202231/12/2023Contrato de colaboración para la def. de un nuevo modelo de dimensionado de capacidad que evolucione el concepto de calidad de servicio genérico actual hacia una calidad de experiencia particularizadaTELEFÓNICA MÓVILES ESPAÑA, S.A.
01/01/202201/03/2023Top Rosies TalentDIGITAL FUTURE SOCIETY; HP Printing and Computing Solutions, S.L.U .
01/01/202231/12/2024Siguiente generación de instrumentación para caracterizar la interfaz superficie-subsuperficie en exploración planetaria: sensores de viento para Marte y sondas para regolitoMINISTERIO DE CIENCIA, INNOVACIÓN Y UNIVERSIDADES
01/01/202231/12/2024Grup de Processament del Senyal i Comunicacions (Signal Processing and Communications)AGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
01/01/202231/08/2024Components and Systems for Communications Research Group (CSC)AGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
14/12/202131/12/2021Sponsorship Deep Learning BCN Symp. 2021FACEBOOK
10/12/202131/12/2022Analysis, design and prototyping of a mmWave Reconfigurable Multi-beam Antenna Repeater to give coveragebto a cellular network deployment, including beam conformation& selection and radiating and switHUAWEI TECHNOLOGIES ITALIA S.R.L.
01/12/202130/11/2024Robots para la asistencia continua y personalizada capaces de explicar-se a si mismosAGENCIA ESTATAL DE INVESTIGACION
01/12/202130/11/2023Cámara polarimétrica de división de apertura para imagen en medios turbiosAGENCIA ESTATAL DE INVESTIGACION
01/12/202130/11/2023Prueba de cOncepto de una solución para compaRTir la Red de Acceso radio basada en Inteligencia arTificialAGENCIA ESTATAL DE INVESTIGACION
29/11/202128/11/2023Collaboration contract for dynamic slice-split management (SESAME)HUAWEI TECHNOLOGIES SWEDEN AB
24/11/202124/11/2021A Communication Device and Signal Processing Method
02/11/202131/01/2022Técnicas de aprendizaje para problemas de sesgo de géneroTELEFONICA I + D, S.A.UNIP.
01/11/202131/10/2024Beyond 5G – OPtical nEtwork coNtinuumEUROPEAN COMMISSION
01/11/202130/10/2023Life in the AI EraCommission of European Communities
18/10/202117/10/2025Intelligence-Enabling Radio Communications for Seamless Inclusive InteractionsEuropean Cooperation in Science and Technology; Unión Europea
07/10/202107/10/2021Método para medida de la intención de paso en medios de control de acceso y programas de ordenador del mismo
07/10/202107/10/2021Método para evaluar la atención de un sujeto que transita por una determinada zona y programas de ordenador del mismo
01/10/202130/09/2024Beca doctorat INPhINIT RetainingFUNDACIO LA CAIXA
01/10/202130/09/2024Movilidad en la ciudad del futuro. Preparar a las ciudades para la nueva movilidad 2030 a través de las 4 universidades politécnicas españolasAGENCIA ESTATAL DE INVESTIGACION
20/09/202131/12/2021AI and Music S+T+ARTS FestivalAbleton AG
15/09/202131/05/2022Extension of collaboration contract for the development and implementation of a CFR (crest factor reduction) algorithm aimed to reduce the PAPR (peak to average power ratio) of communications signalsSOFTWARE RADIO SYSTEMS LIMITED
15/09/202115/09/2021Light sheet-based imaging device with extended depth of field
01/09/202131/12/2021Asesoramiento para la dotación de un laboratorio de selección y calibración de sensores microfónicos susceptibles de ser incorporados a los productos que comercializa la empresa.ACTREG
01/09/202131/08/2024Enfoques sinérgicos para una nueva generación de productos y aplicaciones de observación de la TierraAGENCIA ESTATAL DE INVESTIGACION
01/09/202131/08/2024Inteligencia artificial insesgada y explicable para imágenes médicasAGENCIA ESTATAL DE INVESTIGACION
01/09/202131/08/2024AI-powered Intent-Based packet and Optical transport Networks and edge and cloud computing for beyond 5GAGENCIA ESTATAL DE INVESTIGACION
01/09/202131/08/2024Acceso Radio inTeligente con Integración de diSposiTivos de usuarioAGENCIA ESTATAL DE INVESTIGACION
01/09/202131/08/2024Técnicas Radar para la Observación Continua de la Tierra: Sistemas y ProcesadoAGENCIA ESTATAL DE INVESTIGACION
01/09/202131/08/2024Investigación en futuras redes totalmente optimizadas mediante inteligencia artificial-BAGENCIA ESTATAL DE INVESTIGACION
01/09/202131/08/2024Aprendizaje Profundo Eficiente para Secuencias de Video y Nubes de PuntosAGENCIA ESTATAL DE INVESTIGACION
01/09/202131/08/2024Resonadores y filtros electro-acústicos para aplicaciones 5G sub-6 GHzAGENCIA ESTATAL DE INVESTIGACION
01/09/202131/08/2024Dispositivos asistidos por técnicas de deep y machine learning para transceptores de radiofrecuencia altamente eficientesAGENCIA ESTATAL DE INVESTIGACION
01/08/202115/12/2023Detectability of humpback and gray whales in satellite imagery off California.The Nature Conservancy
01/08/202131/12/2021PERFORMANCE ANALYSIS of Concept and Technology Development of Coherent Array Receiver for Optical Link AugmentationAirbus Defence and Space
20/07/202130/06/2023Ampliació del contracte de col·laboració per el desenvolupament de les actuacions en l'àmbit de la temàtica “Space Communications/'FUNDACIÓ i2CAT
15/07/202115/07/2022AI&MUSICADVANCED MUSIC SL
05/07/202131/12/2024Extension of collaboration contract for teach course(s) to CUMT undergraduate students on the subject of Remote Sensing, conduct online academic exchange, supervise PhD studentsChina University of Mining and Tech
01/07/202130/11/2022HIGH-TECH AND AFFORDABLE 5G NETWORK ROLL-OUT TO EVERY CORNERCommission of European Communities
01/07/202101/07/2024Ciberseguridad Vehicular en el Ecosistema IoT en Smart CitiesAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
04/06/202130/06/2024Antennae Resilient Technologies and SystemsCONSTRUCC. AERONAUTICAS, S.A. DIV.
01/06/202131/12/2023Consultoria diseño y fabricación del radiómetro de microondas de la misión CIMR (Copernicus Imaging Microwave Radiometer) y curso de formaciónThales Alenia Space
01/06/202131/12/2024Extension of collaboration contract between UPC and CUMT for carrying out joint research projects; exchange of faculty members depending on financial abilities of the partners; exchange of sci publicChina University of Mining and Tech
13/04/202128/02/2022Estudio sobre la necesidad de modificar los procedimientos de control de los niveles de emisiones radioeléctricas de las estaciones base por la incorporación de la tecnología 5G.COL.OFICIAL INGEN. DE COMUNICACION
13/04/202113/04/2021Multinlingual translator
01/04/202131/03/2025Solutions for Sustainable Access to Atmospheric Research FacilitiesCommission of European Communities
15/03/202115/03/2024Desenvolupament de nous algorismes de Fully-Focused Delay-Doppler Processing (FF-DDP) per a la millora de la resolució actual de les dades d’altimetria radarAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
02/03/202102/03/2021A method, system and computer programs to automatically transform an image
01/03/202128/02/2025Industrial Doctorate Training Network on Future Wireless Connected and Automated Industry enabled by 5GCommission of European Communities
23/02/202123/02/2021A method and a system for detecting microweve signals which carry information of the functional dynamics of biological particles
01/01/202131/12/2023MOVILIDAD 2030ADVANCED AUTOMOTIVE ANTENNAS, S.L.
01/01/202131/12/2021WUM- Women in Urban Mobility (WUM).EUROPEAN INST OF INNOV.& TECHNOL.
01/01/202131/12/2025EUROfusionCommission of European Communities
18/12/202031/12/2022Expert Consultancy AgreementBeijing Xiaomi Mobile Software Co.,
17/12/202030/11/2023Evaluate the viability of Coated Conductors (CC) tapes as elements for the beam screen for FCC-hh based on the results obtained in the previous phase.CERN (Organització Europea per a la
15/12/202015/12/2023Organitzation of anual public international academic conference-workshop on the next generation optical communication network Evolution and Key Enabling Technologies, during three years.HUAWEI TECHNOLOGIES Duesseldorf Gmb
15/12/202015/12/2023Injection molded antennas for mass productionAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
01/12/202031/01/2022 Lifelong UNiversal lAnguage RepresentationEuropean Research Council (ERC)
01/12/202031/10/2021Divulgació de la IA a nivell de societatGeneralitat de Catalunya. Departament de la Vicepresidencia i de Politiques Digitals i Territori
16/11/202016/11/2021Realització de campanya de monitoratge permanent radar de conreus controlats en camp de test de la ESAB. En el projecte participen investigadors de CommSensLab - RSLAB del Dept. de TSC i InvestigadorsEUROPEAN SPACE AGENCY (ESA) - ESTEC
10/11/202010/11/2020FILTRAW: Software for the synthesis of acoustic filters in ladder configuration
01/11/202030/04/2023Ampliación del contrato de colaboración para acceder a los laboratorios de la UPC para la realización de ensayosMIWENDO SOLUTIONS, S.L
01/10/202031/12/2023Contrato de colaboración para el desarrollo de los algoritmos de inteligencia artificial visualPALEX MEDICAL, S.A.
01/10/202030/12/2022Ampliació del contracte de col·laboració per a l'ús d'algoritmes de Deep Learning en l'estimació d'audiències de sèries de TV i películesUGIAT TECHNOLOGIES, S.L.
01/10/202031/12/2020Acoustic wave filter synthesis toolESA (EUROPEAN SPACE AGENCY)
01/09/202031/12/2020ARTIFICIAL VISION FOR KICK SCOOTERSFUNDACIO C INNOVACIO I TEC CIT UPC
15/08/202031/12/2022Xarxa R+D+I en Tecnologies de la Salut (XarTEC SALUT)AGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
07/08/202030/11/2023Implementación de medicina personalizada en pacientes con melanoma maligno asistidos por inteligencia artificialLA FUNDACIÓ LA MARATÓ DE TV3
15/07/202013/07/2021Thermally controlled ONUs for continuous multiple access in high-quality 50G PON. Huawei Agreement No: YBN2020075039HUAWEI TECHNOLOGIES Duesseldorf Gmb
02/07/202031/05/2021Research image enhancement technologies better adapted to realistic broadcasting uses, addressing any inconsistencies when applying colourisation on still images, as well as powering the ability to geBBC-BRITISH BROADCASTING CORP
01/07/202014/03/2024Ampliació del contracte de col·laboració per el desenvolupament de sistemes de mesura per a la caracterització de materials (constant dielèctrica) per l'ús en sistemes d'automoció com radio FM...ZANINI AUTO GRUP, S.A.
01/07/202031/12/2022Xarxa Fourth Industrial RevolutionAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
01/07/202031/12/2024SMOS Expert Support Laboratory (ESL) for SMOS Level 1 and Level 2 over Land, Ocean and IceElecnor Deimos
17/06/202017/06/2020CRF design tool. Four order Filters based on two identical CRF sections
01/06/202030/11/2023Sistemas radiantes x-Wave integradas de comunicaciones y sensorizaciónAGENCIA ESTATAL DE INVESTIGACION
01/06/202031/05/2024Extension of the collaboration contract for the envelope Tracking PAsHUAWEI TECHNOLOGIES Co
01/06/202031/01/2024Avances en codificación y procesado de señal para la sociedad digitalAGENCIA ESTATAL DE INVESTIGACION
01/06/202031/12/2023Métodos robustos para inferencia estadística, integridad de datos y gestión de interferencia - 2AGENCIA ESTATAL DE INVESTIGACION
01/06/202031/05/2024Arquitecturas avanzadas de Aprendizaje Profundo aplicadas al Procesado de Voz, Audio y LenguajeAGENCIA ESTATAL DE INVESTIGACION
01/06/202029/02/2024Tecnologías radio para comunicaciones ubicuas en la evolución de 5G a 6GAGENCIA ESTATAL DE INVESTIGACION
01/06/202031/12/2020EIT InnoEnergy Customised course on spoken and oral communication skills for engineersEUROPEAN INST OF INNOV.& TECHNOL.
02/04/202002/04/2020AWR library nonlinear BAW components
20/03/202019/03/2021Interlingua-based neural machine translation to reduce complexity and better exploit low-resources in highly multilingual environments (YEAR 2)GOOGLE
01/03/202001/08/2023“A-PARK-AS-Tecnologías para la Automatización de operaciones en aPARKAmientos confiables y ciberSegurosADVANCED AUTOMOTIVE ANTENNAS, S.L.
01/02/202031/01/2024Ampliación del contrato de colaboración para la prestación de asesoramiento técnico y de representación de SATELIOT ante el organismo de estandarización 3GPPSATELIO IOT SERVICES, S.L.
01/01/202031/12/2022COMONSENS NetworkAGENCIA ESTATAL DE INVESTIGACION
01/01/202031/12/2023Aerosol, Clouds and Trace Gases Research Infrastructure Implementation ProjectCommission of European Communities
01/01/202031/12/2020Living lab e-micromobilityEUROPEAN INST OF INNOV.& TECHNOL.
01/01/202031/12/2020CITYTHONEUROPEAN INST OF INNOV.& TECHNOL.
01/01/202030/06/2023Sinergia de teledetección pasiva y activa para la investigación de las interaciones aerosoles-nubes (RESA-CI)AGENCIA ESTATAL DE INVESTIGACION
01/01/202031/12/2020Top Secret RosiesAjuntament de Barcelona
01/01/202031/12/2025Bulk Acoustic Wave (BAW) and Suface Acoustic Wave ModelingTriQuint Semiconductor, Inc
31/12/201928/02/2023Extension of the collaboration contract for deployable Reflector Antenna for Cubesat MissionsCOMET INGENIERIA SL
22/11/201931/12/2019Sponsorship Deep Learning BCN Symposium (Barcelona, Thursday 19th & Friday 20th of December 2019)Facebook Ireland Limited
18/11/201930/11/2020Virtual Market Image Analysis (VMIA)UGIAT TECHNOLOGIES, S.L.
01/11/201928/02/2023Beyond 5G multi-tenant private networks integrating Cellular, WiFi, and LiFi, Powered by ARtificial Intelligence and Intent Based PolicYCommission of European Communities
21/10/201931/12/2019Advising and leading the Company on the successful development of the so-called balanced tangential method-of-moment formulation for the EM scattering analysis of perfectly conducting plates (or similALTAIR SOFTWARE AND SERVICES SL
01/10/201930/09/2021Representación Universal del Lenguaje aprendida automáticamenteAGENCIA ESTATAL DE INVESTIGACION
01/10/201930/09/2022Beca de Doctorat INPhINITFUNDACIO LA CAIXA
03/09/201931/12/2019Anàlisi teòric i la seva aplicació en un prototip del concepte “Multi-Element Antenna Beamforming into the automotive sector”.FUNDACIO C INNOVACIO I TEC CIT UPC
01/09/201931/07/2020Research and development of Optical Area Networks for Vehicles.ALTRAN INNOVACIÓN,S.L.U.
01/09/201931/12/2019El objeto del convenio es el estudio e implementación de un módulo “software” para llevar a cabo la estimación de canal en el enlace de bajada (downlink) de un sistema de comunicaciones móviles 4G (esSOFTWARE RADIO SYSTEMS LIMITED
01/09/201928/02/2023GAVIUS: from reactive to proactive public administrationsCommission of European Communities
01/08/201931/12/2019Curs tècnic en eines i tecnologies de xarxes mòbils 5GSERV. D'OCUPACIÓ CATALUNYA
24/07/201911/10/2022Improvement in the Precision of InSAR Time-Series exploiting In-Situ Sensors and Optical DataAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
08/07/201903/06/2020Deep learning applied to video analysisToshiba Research Europe Limited
28/06/201930/09/2023Action RecognitionAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
28/06/201930/09/2023Image UnderstandingAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
28/06/201930/09/2023Multimodal Speech RecognitionAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
10/06/201910/06/2019Software tool for the Synthesis of Transversal Filters
01/06/201931/12/2020Habilitando una gestión holística de recursos de comunicación/computación/caché mediante cobertura tridimensionalAGENCIA ESTATAL DE INVESTIGACION
01/06/201931/12/2019Royalties for sales of Language ResourcesELDA
24/05/201924/05/2019ECG Synchronizer - Source Code
02/05/201902/10/2019Recompte i control d'arribada de participants en la línia de meta de curses atlètiquesDAPCOM-DATA SERVICES SL
01/05/201931/10/2019Sistema integrat per a la detecció de vehicles pesats en movimentAgència de Gestió d'Ajuts Universitaris i de Recerca (Agaur)
01/05/201931/10/2019SISTEMA INTEGRAT PER A LA DETECCIÓ DE VEHICLES PESATS EN MOVIMENTAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
24/04/201911/07/2022Mobile Communication Technology 5GAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
23/04/201921/05/2019Assessorament en el disseny, fabricació i caracterització d'una antena que cobreixi les bandes de 698-960 MHz i 1710-2700MHzAKO ELECTROMECÀNICA S.A.
10/04/201910/04/2020Recerca i desenvolupament en l'àmbit de la mesura de les característiques dielèctriques i resposta de sistemes de radar een la banda de freqüències mil·limètriquesZANINI AUTO GRUP, S.A.
29/03/201929/03/2020Knowledge-based wireless network planning and optimizationSILICON VALLEY COMMUNITY FOUNDATION
22/03/201928/08/2023Development of GRASP radiative transfer code for the retrieval of aerosol microphysics vertical-profiles from space measurements and its impact in ACE missionCommission of European Communities
20/03/201919/03/2020Interlingua-based neural machine translation to reduce complexity and better exploit low-resources in highly multilingual environmentsGOOGLE
01/03/201931/12/2020MANAGEMENT OF RADIO ACCESS NETWORK SLICING WITH MULTI-APPLICATION CONCURRENCYCommission of European Communities
01/03/201930/06/2019Projectes d'investigació i desenvolupament en l'àrea d'aplicacions dels llenguatge i de la parlaFUNDACIO C INNOVACIO I TEC CIT UPC
01/03/201928/02/2020Projecte d'aula informàtica a una escola del SenegalCentre de Cooperació per al Desenvolupament , UPC
01/03/201928/02/2020Desenvolupament d’un sistema de baix cost per al diagnòstic de malària, tuberculosi i malalties tropicals desateses a través d’imatges de microscopi.Centre Cooperació per al Desenvolupament
28/01/201928/02/2019contrato de R+D AST SCIENCEAST&SCIENCE IBERIA, SOCIEDAD LIMITA
01/01/201930/09/2019Deep learning generative algorithms fos speech synthesisTELEFONICA I + D, S.A.UNIP.
01/01/201931/12/2021A European AI On Demand Platform and EcosystemCommission of European Communities
01/01/201931/12/2020EUROfusion - Image Processing for Plasma Facing Components ProtectionCommission of European Communities
01/01/201931/12/2021Sensing with pioneering opportunistic techniquesAGENCIA ESTATAL DE INVESTIGACION
01/01/201931/12/2022RED OPTICA COHERENTE VERSATILAGENCIA ESTATAL DE INVESTIGACION
01/01/201931/12/2021Robótica en la Nube y el Impacto de las Redes 5G en la Fábrica del Futuro. Subproyecto UPCAGENCIA ESTATAL DE INVESTIGACION
01/01/201930/06/2022Drone research laboratory for the integration of mobile communicationsAGENCIA ESTATAL DE INVESTIGACION
01/01/201931/12/2021Cátedra Telefónica - 4TELEFÓNICA MÓVILES ESPAÑA, S.A.
01/01/201931/12/2022Integrating wireless communication engineering and machine learningEuropean Commission
01/01/201931/12/2019EIT Urban Mobility Start-up phaseEIT Urban Mobility
01/01/201930/09/2022NUEVOS EFECTOS EN PLATAFORMAS DE GUIAS DE ONDA ANISOTROPASAgencia Estatal de Investigación
01/12/201830/09/2019Processament digital de imatges per l'anàlisi automàtic de continguts audiovisuals 2UGIAT TECHNOLOGIES, S.L.
31/10/201831/10/2023Beques doctorat INPhiNIT - Fundació Bancària La CaixaFUNDACIO LA CAIXA
01/10/201828/02/2019Acoustic Transversal FiltersESA (EUROPEAN SPACE AGENCY)
07/09/201807/09/2018Method and system for signal processing
01/08/201817/01/2020Phase A/B1 of passive microwave imaging mission L1B processor development.CONSTRUCC. AERONAUTICAS, S.A. DIV.
01/07/201831/12/2019HTSCoated Conductors for FCC beam screenCERN (Organització Europea per a la
01/07/201830/09/2018Development of an annotated textual corpus in Spanish and Catalan for cyberbullying detection among children and adolescentsSAFETONET LIMITED; FUNDACIÓ BARCELONA MOBILE WORLD CAPITAL FOUNDATION
08/06/201808/06/2018Filter circuits having acoustic wave resonators in a transversal configuration
01/05/201831/08/2018Projecte d'R+D referent a sistemes de medició de pes i marcatge de porcs.AGROPECUARIA SANT SALVADOR SCP
25/04/201825/09/2018Suport al disseny, suport al desenvolupament i assessorament pel sistema d'anàlisi amb deep learning del bot d'una pilota de tennis a partir d'imatges de video.FOXTENN BGREEN SL
11/04/201830/06/2019Advance receiver for future L-band radiometerTRYO AEROSPACE FLIGHT
02/04/201802/04/2018Sistema y método para la detección y eliminación en tiempo real de interferencias de radiofrecuencia
01/04/201831/01/2019Disseny i mesura de materials plàstics per a aplicacions per a radoms en automoció.ZANINI AUTO GRUP, S.A.
07/03/201807/03/2018Scaling factor calculation for the nonlinear performance of acoustic resonators
01/03/201831/03/2018Estudi de viabilitat d'una eina d'anàlisi d'imatge que permeti detectar lesions d'acne mitjançant el telèfon mòbil.SKIN COACH, S.L.
01/03/201829/02/2020Federated satellite system 6U tandem mission for sea ice and soil moisture monitoringDEIMOS ENGENHARIA SA
01/03/201828/02/2019CCD 2018-O003 Projecte TIC a Bretawati, NepalCentre de Cooperació per al Desenvolupament , UPC
01/03/201828/02/2019CCD 2018-S002 AUCOOP com a eina de la UPC per a sensibilitzar i involucrar alumnes en activitats de cooperacióCentre de Cooperació per al Desenvolupament , UPC
20/02/201830/06/2019Research agreement on investigation of nonlinear effects in connectorsHUAWEI TECHNOLOGIES SWEDEN AB
09/02/201809/08/2021Combinació de models neuronals amb models estadístics en traducció automàticaAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
09/02/201829/10/2021Deep learning for video analytics in sport eventsAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
01/01/201830/09/2021Diseñando una infraestructura de red 5G definida mediante conocimiento hacia la próxima sociedad digital-BAGENCIA ESTATAL DE INVESTIGACION
01/01/201830/09/2021Mejoras de las características de nivel 1 de SMOS y futuras misionesAGENCIA ESTATAL DE INVESTIGACION
01/01/201830/09/2021Sobre la continuidad de las misiones satelitales de banda L: nuevos paradigmas en productos y aplicaciones.AGENCIA ESTATAL DE INVESTIGACION
01/01/201830/09/2021Softwarización y optimización automática de redes de acceso radio 5G multi-tenantAGENCIA ESTATAL DE INVESTIGACION
01/01/201830/09/2021Sensores para aplicaciones multi-escala en teledetecciónAGENCIA ESTATAL DE INVESTIGACION
01/01/201830/09/2021Soluciones Avanzadas de Procesado Digital de Señal para Componentes y Sistemas de Nueva Radio 5G Energética yAGENCIA ESTATAL DE INVESTIGACION
01/01/201830/06/2021CogniTive 5G application-aware optical metro netWorks Integrating moNitoring, data analyticS and optimizationAGENCIA ESTATAL DE INVESTIGACION
01/01/201830/09/2021Sensores gravimétricos de gases basados en resonadores electro-acústicos de AIN para aplicaciones en temperaturas extremasAGENCIA ESTATAL DE INVESTIGACION
01/01/201831/12/2019Desenvolupament de sensors RFID de temperatura i altres optimitzats per a treballar a l'interior del formigóCHATU TECH SL
01/01/201831/12/2018Assesorament a la recerca en RF i sistemes de microonesCTRE.TEC.DE TELECOMUNICACIONS CATAL
01/01/201831/12/2020Laboratorio de integración avanzada en bandas milimétricas para comunicaciones xG, biosensores y aplicaciones espacialesAGENCIA ESTATAL DE INVESTIGACION
01/01/201830/06/2022001-P-001644_ Agrupació Emergent en Tecnologies Quàntiques de Catalunya (QUANTUM)GENCAT - DEPT. D'EMPRESA I OCUPACIO
25/09/201331/12/2024Desenvolupament de software i llicència d'ús GRECO 2013SAAB AB
07/04/199331/12/2024Graphical RCS AlgorithmARCON corporation

Quality

The Validation, Monitoring, Modification and Accreditation Framework (VSMA Framework) for official degrees ties the quality assurance processes (validation, monitoring, modification and accreditation) carried out over the lifetime of a course to two objectives—the goal of establishing coherent links between these processes, and that of achieving greater efficiency in their management—all with the overarching aim of improving programmes.

Validation

Monitoring

      Registry of Universities, Centers and Degrees (RUCT)

      Indicators

      Up