Congressos (Departament de Tecnologies de la Informació i les Comunicacions): Recent submissions

  • Platt, Steven; Demirel, Berkay; Oliver Riera, Miquel (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Traditionally, resource management and capacity allocation has been controlled network-side in cellular deployment. As autonomicity has been added to network design, machine learning technologies have largely followed this ...
  • Diaz-Vilor, Carles; Lozano Solsona, Angel; Jafarkhani, Hamid (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Cell-free (CF) structures are expected to be a game changer for beyond-5G wireless networks. With every user potentially communicating with every base station, cooperation at a central processing point is poised to provide ...
  • Mojahedian, Mohammad Mahdi; Attarifar, Masoud; Lozano Solsona, Angel (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    This paper addresses the spatial-wideband effect in line-of-sight multiple-input multiple-output channels. This effect arises once the bandwidth is large enough that the differences in propagation delays for distinct ...
  • Lozano Solsona, Angel (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    This paper tackles the problem of multiple-input multiple-output communication with 1-bit digital-to-analog and analog-to-digital converters. With the information-theoretic capacity as benchmark, the complementary strategies ...
  • Gassa, Narimane; Sacristan, Benjamin; Zemzemi, Nejib; Laborde, Maxime; Garrido Oliver, Juan; Matencio Perabla, Clara; Jimenez-Perez, Guillermo; Camara, Oscar; Ploux, Sylvain; Strik, Marc; Bordachar, Pierre; Dubois, Remi (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    The objective of this work was to benchmark different deep learning architectures for noise detection against cardiac arrhythmia episodes recorded by pacemakers and implantable cardioverter-defibrillators (PM/ICDs) and ...
  • Ferraro, Andrés; Kim, Yuntae; Lee, Soohyeon; Kim, Biho; Jo, Namjun; Lim, Semi; Lim, Suyon; Jang, Jungtaek; Kim, Sehwan; Serra, Xavier; Bogdanov, Dmitry (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    One of the main limitations in the field of audio signal processing is the lack of large public datasets with audio representations and high-quality annotations due to restrictions of copyrighted commercial music. We present ...
  • Fonseca, Eduardo; Jansen, Aren; Ellis, Daniel P. W.; Wisdom, Scott; Tagliasacchi, Marco; Hershey, John R.; Plakal, Manoj; Hershey, Shawn; Moore, R. Channing; Serra, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Real-world sound scenes consist of time-varying collections of sound sources, each generating characteristic sound events that are mixed together in audio recordings. The association of these constituent sound events with ...
  • Semkin, Vasilii; Kang, Seongjoon; Haarla, Jaakko; Xia, William; Huhtinen, Ismo; Geraci, Giovanni; Lozano Solsona, Angel; Loianno, Giuseppe; Mezzavilla, Marco; Rangan, Sundeep (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Wireless communication at millimeter wave frequencies is an attractive option for high-bit-rate connectivity to unmanned aerial vehicles (UAVs). However, conducting the channel measurements necessary to assess the communication ...
  • Kang, Seongjoon; Mezzavilla, Marco; Lozano Solsona, Angel; Geraci, Giovanni; Xia, William; Rangan, Sundeep; Semkin, Vasilii; Loianno, Giuseppe (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    With growing interest in mmWave connectivity for unmanned aerial vehicles (UAVs), a basic question is whether networks intended for terrestrial service can provide sufficient aerial coverage as well. To assess this possibility ...
  • Kangarshahi, Ehsan Asadi; Guillén i Fàbregas, Albert (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    We derive a sphere-packing error exponent for mismatched decoding over discrete memoryless channels. We find a lower bound to the probability of error of mismatched decoding that decays exponentially for coding rates smaller ...
  • Bernardino Perez, Gabriel; Jonsson, Anders, 1973-; Loncaric, Filip; Martí Castellote, Pablo Miki; Sitges, Marta; Clarysse, Patrick; Duchateau, Nicolas (Springer, 2022)
    Diagnosis through imaging generally requires the combination of several modalities. Algorithms for data fusion allow merging information from different sources, mostly combining all images in a single step. In contrast, ...
  • Galdran, Adrian; Hewitt, Katherine J.; Ghaffari Laleh, Narmin; Kather, Jakob N.; Carneiro, Gustavo; González Ballester, Miguel Ángel, 1973- (Springer, 2022)
    Tissue typology annotation in Whole Slide histological images is a complex and tedious, yet necessary task for the development of computational pathology models. We propose to address this problem by applying Open Set ...
  • Charisi, Vicky; Merino, Luis; Escobar, María-José; Caballero, Fernando; Gomez, Randy; Gómez Gutiérrez, Emilia, 1975- (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Human collaboration is more likely to lead to cognitive growth when all group-members are actively involved in the collaborative process. However, there are cases that intragroup relationships need support. In this paper, ...
  • Fonseca, Eduardo; Ortego, Diego; McGuinness, Kevin; O’Connor, Noel E.; Serra, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Self-supervised representation learning can mitigate the limitations in recognition tasks with few manually labeled data but abundant unlabeled data—a common scenario in sound event research. In this work, we explore ...
  • Won, Minz; Oramas, Sergio; Nieto Caballero, Oriol; Gouyon, Fabien; Serra, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Tag-based music retrieval is crucial to browse large-scale mu-sic libraries efficiently. Hence, automatic music tagging has been actively explored, mostly as a classification task, which has an inherent limitation: a fixed ...
  • Ferraro, Andrés; Bogdanov, Dmitry; Serra, Xavier; Jeon, Jay Ho; Yoon, Jason (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Automatic tagging of music is an important research topic in Music Information Retrieval and audio analysis algorithms proposed for this task have achieved improvements with advances in deep learning. In particular, many ...
  • Dovelos, Konstantinos; Assimonis, Stylianos D.; Ngo, Hien Quoc; Bellalta, Boris; Matthaiou, Michail (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Intelligent reflecting surface (IRS)-assisted wireless communication is widely deemed a key technology for 6G systems. The main challenge in deploying an IRS-aided terahertz (THz) link, though, is the severe propagation ...
  • Dovelos, Konstantinos; Assimonis, Stylianos D.; Ngo, Hien Quoc; Bellalta, Boris; Matthaiou, Michail (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    An intelligent reflecting surface (IRS) at terahertz (THz) bands is expected to have a massive number of reflecting elements to compensate for the severe propagation losses. However, as the IRS size grows, the conventional ...
  • Nunez, David; Wilhelmi Roca, Francesc; Avallone, Stefano; Smith, M.; Bellalta, Boris (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    IEEE 802.11be networks (aka Wi-Fi 7) will have to cope with new bandwidth-hungry and low-latency services such as eXtended Reality and multi-party cloud gaming. With this goal in mind, transmit opportunity (TXOP) sharing ...
  • Favory, Xavier; Drossos, Konstantinos; Virtanen, Tuomas; Serra, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Self-supervised audio representation learning offers an attractive alternative for obtaining generic audio embeddings, capable to be employed into various downstream tasks. Published approaches that consider both audio and ...

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