• DocumentCode
    2136667
  • Title

    Channel modeling and capacity analysis of large MIMO in real propagation environments

  • Author

    Kamga, Gervais N. ; Xia, Minghua ; Aissa, Sonia

  • Author_Institution
    INRS-EMT, University of Quebec, Montreal, Canada
  • fYear
    2015
  • fDate
    8-12 June 2015
  • Firstpage
    1447
  • Lastpage
    1452
  • Abstract
    To account for antenna physical parameters and real propagation conditions encountered by large-scale multipleinput multiple-output (MIMO) antenna systems in practical deployment, this paper develops a comprehensive MIMO channel model in an analytical way. In particular, major parameters including path loss, shadowing effect, multi-path fading, channel polarization, channel correlations, antenna cross-polarization discrimination and environmental cross-polar coupling, are integrated in a mathematically tractable way. Then, an upper bound on the ergodic capacity of the comprehensive MIMO channel is derived asymptotically, i.e. as the number of transmit and/or receive antennas of the MIMO system approaches infinity. Finally, Monte Carlo simulation results corroborate the effectiveness of the proposed model and the accuracy of the resulting capacity bound. Thanks to its high generality and compactness, the proposed model can serve as the kernel for the design and performance evaluation of large-scale MIMO in real propagation environments.
  • Keywords
    Correlation; MIMO; Receiving antennas; Shadow mapping; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2015 IEEE International Conference on
  • Conference_Location
    London, United Kingdom
  • Type

    conf

  • DOI
    10.1109/ICC.2015.7248527
  • Filename
    7248527