SPCOM - Processament del Senyal i Comunicacions
Desenvolupament i anàlisi de tècniques avançades de processament digital del senyal amb èmfasi en la seva aplicació a sistemes de comunicacions i/o localització. Àrees d'interès especial són les comunicacions sense fils en tots els seus àmbits, des del personal, local i cel·lular i ampliant el seu abast fins a les comunicacions per satèl·lit i d'espai profund, així com els sistemes de localització adequats a tots aquests entorns. Les tècniques en les quals el grup acumula una experiència considerable i en què és previsible una participació més significativa en el futur són les següents: disseny de sistemes de comunicacions per satèl·lit avançats, desenvolupament de sistemes de comunicacions sense fils amb múltiples antenes en transmissió i/o recepció, desenvolupament de sistemes avançats de localització i navegació i optimització d'esquemes d’assignació de recursos per a sistemes i xarxes de comunicacions sense fils no centralitzades.
Development and analysis of advanced signal processing techniques with emphasis on their application to communication and location systems. Wireless communication networks at the personal, local and cellular levels up to satellite and deep space communications constitute areas of special interest, as well as location and navigation systems adequate to these environments. The fields in which our research group enjoys considerably experience and in which we will foreseeably be engaged in the future are the following: design of advanced satellite communication systems, development of wireless communication systems with multiple transmitting/receiving antennas, development of advanced location and navigation systems and optimization of resource allocation schemes for decentralized wireless communication systems and networks.
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Articles de revista [190]
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Reports de recerca [48]
Recent Submissions
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RIS phase optimization for near-field 5G positioning: ML-enhanced CRLB minimization
(Institute of Electrical and Electronics Engineers (IEEE), 2024)
Conference lecture
Restricted access - publisher's policyThis article addresses near-field localization using Reconfigurable Intelligent Surfaces (RIS) in 5G systems, where Line-of-Sight (LOS) between the base station and the user is obstructed. We propose a RIS phase optimization ... -
RIS phase optimization for near-field 5G positioning: ML-enhanced CRLB minimization
Conference report
Restricted access - publisher's policyThis article addresses near-field localization using Reconfigurable Intelligent Surfaces (RIS) in 5G systems, where Line-of-Sight (LOS) between the base station and the user is obstructed. We propose a RIS phase optimization ... -
Asymptotic analysis of near-field coupling in massive MISO and massive SIMO systems
(2024-06-07)
Research report
Open AccessThis paper studies the receiver to transmitter antenna coupling in near-field communications with massive arrays. Although most works in the literature consider that it is negligible and approximate it by zero, there is ... -
Reinforcement learning-based UL/DL splitter for latency reduction in wireless TSN networks
(Institute of Electrical and Electronics Engineers (IEEE), 2024)
Conference report
Open AccessReducing latency in Time-Sensitive Networking (TSN) networks is critical to fulfil real-time communication requirements, ensuring timely data delivery, and maintaining system responsiveness. Minimizing latency enhances the ... -
Development of attention-based prediction models for all-cause mortality, home care need, and nursing home admission in ageing adults in Spain using longitudinal electronic health record data
(Springer, 2025-01-25)
Article
Open AccessPredicting health-related outcomes can help with proactive healthcare planning and resource management. This is especially important on the older population, an age group growing in the coming decades. Considering longitudinal ... -
RIS-aided location estimation based on MVDR in near-field conditions
(Institute of Electrical and Electronics Engineers (IEEE), 2024)
Conference report
Open AccessIn this paper, we propose a reconfigurable intelligence surface (RIS)-aided location system. Through such a system, we exploit that near-field (NF) effects are still significant at long distances in mm-wave bands (i.e., ... -
Impact of near-field conditions on the performance of RIS-aided mmWave communication strategies
(Institute of Electrical and Electronics Engineers (IEEE), 2024)
Conference report
Open AccessIn this paper, we consider a reconfigurable intelligent surface (RIS)-based transmitter operating in a high-frequency band that sends more symbols per channel use than the number of antennas at the receiver. For such a ... -
Novel radio frame design for efficient integration of wireless links into time-sensitive networks
(Institute of Electrical and Electronics Engineers (IEEE), 2024)
Conference report
Open AccessThis paper presents a novel radio frame design for wireless links that allows efficient scheduling of multiple time-sensitive flows with bounded delay and arbitrarily small packet jitter requirements. The proposed design ... -
Robust design of reconfigurable intelligent surfaces for parameter estimation in MTC
(2025-03-19)
Article
Open AccessThis paper introduces a reconfigurable intelligent surface (RIS) to support parameter estimation in machine-type communications (MTC). We focus on a network where single-antenna sensors transmit spatially correlated ... -
Use of attention maps to enrich discriminability in deep learning prediction models using longitudinal data from electronic health records
(Multidisciplinary Digital Publishing Institute, 2025-01-01)
Article
Open AccessBackground: In predictive modelling, particularly in fields such as healthcare, the importance of understanding the model’s behaviour rivals, if not surpasses, that of discriminability. To this end, attention mechanisms ... -
EMVC-2: an efficient single-nucleotide variant caller based on expectation maximization
(2024-03-04)
Article
Open AccessMotivation: Single-nucleotide variants (SNVs) are the most common type of genetic variation in the human genome. Accurate and efficient detection of SNVs from next-generation sequencing (NGS) data is essential for various ... -
Deliverable number D3.1: State of the art on 5G industrial networks and slicing for IIoT
(2023-03-30)
Research report
Open AccessIn this deliverable, ESR2 discussed end-2-end network slicing for dense networks with mMTC, eMBB and URLLC requirements for Industrial Internet-of-Things (IIoT). The architecture and enabling technologies of network ...
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