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

  • Passive sampling in reproducing kernel Hilbert spaces using leverage scores 

    Giménez Febrer, Pedro Juan; Pagès Zamora, Alba Maria; Santamaria Caballero, Ignacio (2022-10-01)
    Article
    Restricted access - publisher's policy
    This paper deals with the selection of the training dataset in kernel-based methods for function reconstruction, with a focus on kernel ridge regression. A functional analysis is performed which, in the absence of noise, ...

  • Compression of multibeam echosounders bathymetry and water column data 

    Martí, Aniol; Portell de Mora, Jordi; Amblàs Novellas, David; Cabrera Estanyol, Ferran de; Vila Insa, Marc; Riba Sagarra, Jaume; Mitchell, Garrett (Multidisciplinary Digital Publishing Institute (MDPI), 2022-04-25)
    Article
    Open Access
    Over the past decade, Multibeam Echosounders (MBES) have become one of the most used techniques in sea exploration. Modern MBES are capable of acquiring both bathymetric information on the seafloor and the reflectivity of ...

  • Effect of correlated building blockages on the ergodic capacity of mmWave systems in urban scenarios 

    García Ruiz, Cristian; Muñoz Medina, Olga; Pascual Iserte, Antonio (Institute of Electrical and Electronics Engineers (IEEE), 2022-05)
    Article
    Open Access
    The millimeter waves (mmWave) bands, considered to support the forthcoming generation of mobile communications technologies, have a well-known vulnerability to blockages. Recentworks in the literature analyze the blockage ...

  • Unsupervised ensemble learning for genome sequencing 

    Pagès Zamora, Alba Maria; Ochoa Álvarez, Idoia; Ruiz Cavero, Gonzalo; Villalvilla Ornat, Pol (2022-09)
    Article
    Open Access
    Unsupervised ensemble learning refers to methods devised for a particular task that combine data provided by decision learners taking into account their reliability, which is usually inferred from the data. Here, the variant ...

  • On infinite past predictability of cyclostationary signals 

    Riba Sagarra, Jaume; Vila Insa, Marc (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    Article
    Open Access
    This paper explores the asymptotic spectral decomposition of periodically Toeplitz matrices with finite summable elements. As an alternative to polyphase decomposition and other approaches based on Gladyshev representation, ...

  • Quantum multiple hypothesis testing based on a sequential discarding scheme 

    Pérez Guijarro, Jordi; Pagès Zamora, Alba Maria; Rodríguez Fonollosa, Javier (Institute of Electrical and Electronics Engineers (IEEE), 2022-01-14)
    Article
    Open Access
    We consider the quantum multiple hypothesis testing problem, focusing on the case of hypothesis represented by pure states. A sequential adaptive algorithm is derived and analyzed first. This strategy exhibits a decay rate ...

  • Energy driven transmission schemes for coexistence between HTC and MTC 

    Liesegang Maria, Sergi; Pascual Iserte, Antonio; Muñoz Medina, Olga (VDE Verlag, 2021)
    Conference report
    Restricted access - publisher's policy
    Coexistence between human-type and machine-type communications is essential in future cellular networks. The former demands high data rates whereas long battery lifetimes are crucial for the latter. In this paper, we ...

  • Hierarchical beamforming in random access channels 

    Agustín de Dios, Adrián; Cabrera-Bean, Margarita; Vidal Manzano, José (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference lecture
    Open Access
    Managing a massive number of terminals in a contention-based multiple access is challenging due to its intrinsic limited efficiency. For example, in the random access channel considered in LTE-A and 5G NR, Base Station ...

  • A multi-armed bandit model for non-stationary wireless network selection 

    Martínez Casanovas, Lluís; Cabrera-Bean, Margarita; Vidal Manzano, José (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    The amount of wireless networks and technologies such as 5G have been rapidly increasing in the last years. With this growth in number it has become more relevant to be able to select the best network with the goal of ...

  • Correlated binary data for machine learning 

    Llobet Turró, Martí; Cabrera-Bean, Margarita (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    Data sets containing instances that are assigned values by an ensemble of annotators of unknown accuracy are becoming increasingly common. Binary, potentially correlated data are frequent in a number of disciplines, and ...

  • LOS/NLOS estimators for mmWave cellular systems with blockages 

    Ortega Sánchez-Colomer, Tomás; Pascual Iserte, Antonio; Muñoz Medina, Olga (2022-01)
    Article
    Open Access
    Designers of millimeter wave (mmWave) cellular systems need to evaluate line-of-sight (LOS) maps to provide good service to users in urban scenarios. In this letter, we derive estimators to obtain LOS maps in scenarios ...

  • Affine projection subspace tracking 

    Vila Insa, Marc; López Molina, Carlos Alejandro; Riba Sagarra, Jaume (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference lecture
    Open Access
    In this paper, we consider the problem of estimating and tracking an R-dimensional subspace with relevant information embedded in an N-dimensional ambient space, given that N>>R. We focus on a formulation of the signal ...

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