Now showing items 1-5 of 5

    • Compressive spectrum sensing based on spectral shape feature detection 

      Lagunas, Eva; Nájar Martón, Montserrat (Institute of Electrical and Electronics Engineers (IEEE), 2013)
      Conference report
      Restricted access - publisher's policy
      In this paper, we address sparsity-based spectrum sensing for Cognitive Radio (CR) applications. Motivated by the sparsity described by the low spectral occupancy of the licensed radios, the proposed approach utilizes the ...
    • Distributed power control with received power constraints for time-area-spectrum licenses 

      Pérez Neira, Ana Isabel; Veciana Fontanet, Joaquim Maria; Vázquez, Miguel Ángel; Lagunas, Eva (2016-03)
      Article
      Open Access
      This paper deals with the problem of optimal decentralized power control in systems whose spectrum is regulated in time and space, the so-called time-area-spectrum (TAS) licensed. This license system gives to the owner the ...
    • Integrated terrestrial-satellite wireless backhauling: resource management and benefits for 5G 

      Shaat, Musbah; Lagunas, Eva; Pérez Neira, Ana Isabel; Chatzinotas, Symeon (2018-07-13)
      Article
      Open Access
    • Position estimation for IR-UWB systems: DPE, Multi-TOA approach, and their compressive sensing-based modeling 

      Lagunas, Eva; Navarro, Monica; Closas, Pau; Nájar Martón, Montserrat; Garcia-Gutierrez, Ricardo; Floriach, Genís (2018-01-01)
      Part of book or chapter of book
      Restricted access - publisher's policy
      The limitations of satellites create a large gap in assistive directional technologies, especially indoors. The methods and advances in alternate directional technologies is allowing for new systems to fill the gaps caused ...
    • Sparsity-based radar imaging of building structures 

      Lagunas, Eva; Amin, Moeness; Ahmad, Fauzia; Nájar Martón, Montserrat (Institute of Electrical and Electronics Engineers (IEEE), 2012)
      Conference report
      Restricted access - publisher's policy
      In this paper, we address imaging of the interior structure of a building using a reduced number of measurements in through-the-wall imaging and urban sensing applications. Unlike majority of the feature detection methods ...