SPCOM - Grup de Recerca de 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.

Recent Submissions

  • A tractable closed form approximation of the ergodic rate in Poisson cellular networks 

    Aravanis, Alexios; Tu Lam, Thanh; Muñoz Medina, Olga; Pascual Iserte, Antonio; Di Renzo, Marco (2019-07)
    Article
    Open Access
    The employment of stochastic geometry for the analysis and design of ultra dense networks (UDNs) has provided significant insights into network densification. In addition to the characterization of the network performance ...

  • Expectation–maximisation based distributed estimation in sensor networks 

    López Valcarce, Roberto; Pagès Zamora, Alba Maria (Institution of Engineering and Technology, 2019-03-01)
    Part of book or chapter of book
    Restricted access - publisher's policy
    Estimating the unknown parameters of a statistical model based on the observations collected by a sensor network is an important problem with application in multiple fields. In this setting, distributed processing, by which ...

  • Positioning and timing in the MIMO-gnss framework 

    García Molina, J. A.; Fernández Rubio, Juan Antonio (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference report
    Restricted access - publisher's policy
    This paper discusses about GNSS-based positioning and timing in challenging propagation conditions for receivers featuring an array of antennas with an arbitrary distribution. In particular, the positioning and timing ...

  • Unsupervised ensemble classification with correlated decision agents 

    Cabrera-Bean, Margarita; Pagès Zamora, Alba Maria; Diaz Vilor, Carles (2019-07-01)
    Article
    Open Access
    Decision-making procedures when a set of individual binary labels is processed to produce a unique joint decision can be approached modeling the individual labels as multivariate independent Bernoulli random variables. ...

  • User grouping and resource allocation in multiuser MIMO systems under SWIPT 

    Rubio López, Javier; Pascual Iserte, Antonio (2019-06)
    Article
    Open Access
    This paper considers a broadcast multiple-input multiple-output (MIMO) network with multiple users and simultaneous wireless information and power transfer (SWIPT). In this scenario, it is assumed that some users are able ...

  • Interference statistics approximations for data rate analysis in uplink massive MTC 

    Liesegang Maria, Sergi; Muñoz Medina, Olga; Pascual Iserte, Antonio (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Conference lecture
    Restricted access - publisher's policy
    Machine-type-communications have attracted a lot of interest in the past years. They rely on interactions between devices with no human supervision. This will help to the advent of a plethora of applications such as the ...

  • Improved modelling of ionospheric disturbances for remote sensing and navigation 

    Camps Carmona, Adriano José; Barbosa, José; Juan Zornoza, José Miguel; Blanch Llosa, Estefania; Altadill, David; González Casado, Guillermo; Vázquez Grau, Gregorio; Riba Sagarra, Jaume; Orus-Perez, Raul (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Conference report
    Restricted access - publisher's policy
    A generic software tool to evaluate the impact of ionospheric disturbances is presented, including low and high latitude physically-based models, and low and high frequency fluctuations. This tool has been developed ...

  • One-shot capacity bounds on the simultaneous transmission of public and private information over quantum channels 

    Salek Shishavan, Farzin; Anshu, Anurag; Hsieh, Min-Hsiu; Jain, Rahul; Rodríguez Fonollosa, Javier (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Conference lecture
    Restricted access - publisher's policy
    We aim to study the optimal rates of transmission of public and private classical information over a quantum channel in the most general channel model. To this end, we discuss a scenario in which a quantum channel is being ...

  • Cronografia ICOM (ETSETB/UPC) Quadrimestre de Tardor 2016 

    Sala Álvarez, José (2017-12-01)
    External research report
    Open Access

  • Implementation of an artificial neural network on the test Barcelona workstation as a predictive model for the classification of normal, mild cognitive impairment and Alzheimer's disease subjects using the Neuronorma battery 

    Rivera Avila, Neus; Cabrera-Bean, Margarita; Sánchez Benavides, Gonzalo; Gallego González, Carles; Lupiáñez Pretel, José; Peña Casanovas, Jordi (Knowledge E, 2018-11-01)
    Article
    Open Access
    Objective: to implement an online Artificial Neural Network (ANN) that provides the probability of a subject having mild cognitive impairment(MCI) or Alzheimer’s disease (AD). Method: Different ANN’s were trained with a ...

  • LaViCAD: Laboratorio Virtual de Comunicaciones Analógicas y Digitales 

    Cabrera-Bean, Margarita; Fernández Prades, Carles; Vargas Berzosa, Carlos; Vargas Berzosa, Francisco; Fernández Rubio, Juan Antonio; Gasull Llampallas, Antoni (Universitat de Barcelona. Edicions i Publicacions, 2006)
    Conference report
    Open Access
    En este trabajo se presenta tanto el diseño como la experimentación de un Laboratorio Virtual de Comunicaciones Analógicas y Digitales: LaViCAD. Mediante LaViCAD se pueden experimentar y verificar diferentes aplicaciones ...

  • Unsupervised online clustering and detection algorithms using crowdsourced data for malaria diagnosis 

    Pagès Zamora, Alba Maria; Cabrera-Bean, Margarita; Diaz Vilor, Carles (2019-02-01)
    Article
    Open Access
    Crowdsourced data in science might be severely error-prone due to the inexperience of annotators participating in the project. In this work, we present a procedure to detect specific structures in an image given tags ...

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