• DocumentCode
    2081735
  • Title

    Decontaminating pilots in massive MIMO systems

  • Author

    Haifan Yin ; Gesbert, David ; Filippou, Miltiades C. ; Yingzhuang Liu

  • Author_Institution
    Mobile Commun. Dept., EURECOM, Biot, France
  • fYear
    2013
  • fDate
    9-13 June 2013
  • Firstpage
    3170
  • Lastpage
    3175
  • Abstract
    Pilot contamination is known to severely limit the performance of large-scale antenna (“massive MIMO”) systems due to degraded channel estimation. This paper proposes a twofold approach to this problem. First we show analytically that pilot contamination can be made to vanish asymptotically in the number of antennas for a certain class of channel fading statistics. The key lies in setting a suitable condition on the second order statistics for desired and interference signals. Second we show how a coordinated user-to-pilot assignment method can be devised to help fulfill this condition in practical networks. Large gains are illustrated in our simulations for even small antenna array sizes.
  • Keywords
    MIMO communication; antenna arrays; fading channels; radiofrequency interference; statistical analysis; antenna array sizes; channel estimation degradation; channel fading statistics; interference signal; large-scale antenna systems; massive MIMO systems; pilot decontamination; second-order statistics; user-to-pilot assignment method; Antennas; Base stations; Channel estimation; Contamination; Covariance matrices; Estimation; Interference; channel estimation; covariance information; massive MIMO; pilot contamination; scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2013 IEEE International Conference on
  • Conference_Location
    Budapest
  • ISSN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/ICC.2013.6655031
  • Filename
    6655031