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Browsing Departament de Tecnologies de la Informació i les Comunicacions by Subject "Signal to noise ratio"

Browsing Departament de Tecnologies de la Informació i les Comunicacions by Subject "Signal to noise ratio"

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  • George, Geordie; Mungara, Ratheesh K.; Lozano Solsona, Angel; Haenggi, Martin (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    The application of stochastic geometry to the analysis of wireless networks is shown to be propelled by (i) a clean separation of time scales, (ii) abstraction of small-scale effects via ergodicity, and (iii) an interference ...
  • Mungara, Ratheesh K.; Zhang, Xinchen; Lozano Solsona, Angel; Heath, Robert W. (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    Device-to-device (D2D) communication allows serving local wireless traffic bypassing the system’s/ninfrastructure. One way to control the interference in D2D networks is to carefully channelize/ntransmissions. This paper ...
  • Senanayake, Rajitha; Lozano Solsona, Angel; Smith, Peter; Evans, Jamie (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    This paper considers distributed massive MIMO networks where a large number of antennas, either collocated or geographically scattered over a region, communicate with mobile users. This communication is impaired by ...
  • Hong, Li; Garcia Armada, Ana; Lozano Solsona, Angel (Institute of Electrical and Electronics Engineers (IEEE), 2012)
    Bit and power loading schemes for a single-user multiple-input multiple-output channel using a minimum mean-square error receiver are proposed. Such schemes are derived without the benefit of instantaneous channel state ...
  • George, Geordie; Lozano Solsona, Angel (Institute of Electrical and Electronics Engineers (IEEE), 2015)
    We study the impact of signal reflections in enclosed/nwireless networks of wearable devices operating at mmWave/nfrequencies. Given the radical blockage by obstacles and people/n(including the user’s own body) at these ...
  • Wilhelmi Roca, Francesc; Bellalta, Boris; Cano Bastidas, Cristina; Jonsson, Anders, 1973- (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Reinforcement Learning is gaining attention by the wireless networking community due to its potential to learn good-performing configurations only from the observed results. In this work we propose a stateless variation ...
  • Dohler, Mischa; Heath, R. W., Jr.; Lozano Solsona, Angel; Papadias, Constantinos B.; Valenzuela, R. A. (Institute of Electrical and Electronics Engineers (IEEE), 2011)
    This article originates from a panel with the above title, held at IEEE VTC Spring 2009, in which the authors took part. The enthusiastic response it received prompted us to discuss for a wider audience whether research ...
  • Attarifar, Masoud; Abbasfar, Aliazam; Lozano Solsona, Angel (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    This paper addresses the performance improvement that structured pilot assignment policies can bring about, relative to a random pilot assignment, in cell-free massive MIMO wireless networks. It is shown that structured ...

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