SPCOM - Processament del Senyal i Comunicacions: Enviaments recents

Ara es mostren els items 1-12 de 574

    • Remote monitoring of two-state markov sources via random access channels: an information freshness vs. state estimation entropy perspective 

      Cocco, Giuseppe; Munari, Andrea; Liva, Gianluigi (Institute of Electrical and Electronics Engineers (IEEE), 2023-11-09)
      Article
      Accés obert
      We study a system in which two-state Markov sources send status updates to a common receiver over a slotted ALOHA random access channel. We characterize the performance of the system in terms of state estimation entropy ...

    • Reconfigurable intelligent surfaces for receive spatial modulation in rank-deficient channels 

      Moreno Locubiche, Ainna Yue; Vidal Manzano, José; Pascual Iserte, Antonio; Muñoz Medina, Olga (Institute of Electrical and Electronics Engineers (IEEE), 2023)
      Text en actes de congrés
      Accés obert
      Receive spatial modulation (RSM) has been proposed as an effective transmission technology for next-generation wireless communications systems because of its reduced complexity and low energy consumption at the receiver ...

    • Contextual multi-armed bandits for non-stationary wireless network selection 

      Martínez Casanovas, Lluís; Vidal Manzano, José; Cabrera-Bean, Margarita (Institute of Electrical and Electronics Engineers (IEEE), 2023)
      Text en actes de congrés
      Accés obert
      As the number of wireless technologies (4G, 5G, 802.11ax and other) have been rapidly increasing, so have the number of wireless networks concurrently deployed on a given coverage area. As a result, the judicious selection ...

    • Relation between quantum advantage in supervised learning and quantum computational advantage 

      Pérez Guijarro, Jordi; Pagès Zamora, Alba Maria; Rodríguez Fonollosa, Javier (Institute of Electrical and Electronics Engineers (IEEE), 2023-12-26)
      Article
      Accés obert
      The widespread use of machine learning has raised the question of quantum supremacy for supervised learning as compared to quantum computational advantage. In fact, a recent work shows that computational and learning ...

    • Concentration properties of random codes 

      Truong, Lan V.; Cocco, Giuseppe; Font Segura, Josep; Guillén i Fàbregas, Albert (2023-09-05)
      Article
      Accés obert
      This paper shows that, for discrete memoryless channels, the error exponent of a randomly generated code with independent codewords converges in probability to its expectation—the typical error exponent. For high rates, ...

    • Sidelobe suppression for multicarrier signals via structured spectral precoding 

      Hussain, Khawar; López Valcarce, Roberto; Rey Micolau, Francesc; Sala Álvarez, José; Villares Piera, Nemesio Javier (Institute of Electrical and Electronics Engineers (IEEE), 2024-01-22)
      Article
      Accés obert
      Reducing the large sidelobes of multicarrier signals is crucial to prevent adjacent channel interference. Spectral precoding is an effective approach toward this goal, at the expense of throughput loss due to precoder ...

    • A survey of 5G-based positioning for industry 4.0: state of the art and enhanced techniques 

      Muthineni, Karthik; Artemenko, Alexander; Vidal Manzano, José; Nájar Martón, Montserrat (Institute of Electrical and Electronics Engineers (IEEE), 2023)
      Text en actes de congrés
      Accés obert
      The fifth generation (5G) mobile communication technology integrates communication, positioning, and mapping functionalities as an in-built feature. This has drawn significant attention from industries owing to the capability ...

    • Correlation study between the performance in different engineering courses and project-based courses 

      Bermejo Broto, Sandra; Bragós Bardia, Ramon; Rey Micolau, Francesc; Pegueroles Vallés, Josep R. (NTNU SEED, 2023)
      Comunicació de congrés
      Accés obert
      In a previous study, already published (Bragós, 2022), we analyzed the correlation between the University access mark to the engineering studies with the grades obtained in projectbased courses and in non-project-based ...

    • Minimum error entropy estimation under contaminated Gaussian noise 

      López Molina, Carlos Alejandro; Cabrera Estanyol, Ferran de; Riba Sagarra, Jaume (Institute of Electrical and Electronics Engineers (IEEE), 2023-10-12)
      Article
      Accés obert
      It is shown that Rényi's entropy of a Gaussian mixture with entropic index α∈(1,∞] is upper-bounded by the cluster with minimum variance. This basic idea leads to a clean worst-case formulation of the minimum error entropy ...

    • Higher-order link prediction via learnable maximum mean discrepancy 

      Karanikolas, Georgios V.; Pagès Zamora, Alba Maria; Giannakis, Georgios B. (Institute of Electrical and Electronics Engineers (IEEE), 2023)
      Text en actes de congrés
      Accés obert
      Higher-order link prediction (HOLP) seeks missing links capturing dependencies among three or more network nodes. Predicting high-order links (HOLs) can for instance reveal hyperlinks in the structure of drug substance and ...

    • Subspace leakage in conventional and dimensionally spread null-space communications 

      Borràs Pino, Jordi; Vázquez Grau, Gregorio (2023-10)
      Article
      Accés obert
      This letter evaluates the impact of subspace leakage in conventional (single-dimension) and dimensionally spread null-space precoding schemes. This phenomenon arises when the null-space inference procedure lacks precision ...

    • Prediction models using artificial intelligence and longitudinal data from electronic health records: a systematic methodological review 

      Carrasco Ribelles, Lucía Amalia; Llanes Jurado, José; Gallego Moll, Carlos; Cabrera-Bean, Margarita; Monteagudo Zaragoza, Mònica; Violán Fors, Concepción; Zabaleta del Olmo, Edurne (2023-12)
      Article
      Accés obert
      Objective: To describe and appraise the use of artificial intelligence (AI) techniques that can cope with longitudinal data from electronic health records (EHRs) to predict health-related outcomes. Methods: This ...