• DocumentCode
    1789045
  • Title

    Uplink performance of large optimum-combining antenna arrays in poisson-cell networks

  • Author

    Govindasamy, S.

  • Author_Institution
    F.W. Olin Coll. of Eng., Needham, MA, USA
  • fYear
    2014
  • fDate
    10-14 June 2014
  • Firstpage
    2158
  • Lastpage
    2164
  • Abstract
    The uplink of a wireless network with base stations distributed according to a Poisson Point Process (PPP) is analyzed. The base stations are assumed to have a large number of antennas and use linear minimum-mean-square-error (MMSE) spatial processing for multiple access. The number of active mobiles per cell is limited to permit channel estimation using pilot sequences that are orthogonal in each cell. The cumulative distribution function (CDF) of the spectral efficiency of a randomly located link in a typical cell of such a system is derived when accurate channel estimation is available. A simple bound is provided for the spectral efficiency when channel estimates suffer from pilot contamination. The results provide insight into the performance of so-called massive Multiple-Input-Multiple-Output (MIMO) systems in spatially distributed cellular networks.
  • Keywords
    MIMO communication; antenna arrays; cellular radio; channel estimation; least mean squares methods; stochastic processes; CDF; MMSE spatial processing; PPP; Poisson point process; base stations; channel estimation; cumulative distribution function; large optimum-combining antenna arrays; linear minimum-mean-square-error; massive MIMO systems; multiple-input-multiple-output systems; pilot contamination; pilot sequences; spatially distributed cellular networks; spectral efficiency; uplink performance; wireless network; Antennas; Base stations; Channel estimation; Mobile communication; Mobile computing; Receivers; Transmitters; MMSE; Massive MIMO;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2014 IEEE International Conference on
  • Conference_Location
    Sydney, NSW
  • Type

    conf

  • DOI
    10.1109/ICC.2014.6883643
  • Filename
    6883643