• DocumentCode
    795099
  • Title

    A stochastic MIMO radio channel model with experimental validation

  • Author

    Kermoal, Jean Philippe ; Schumacher, Laurent ; Pedersen, Klaus Ingemann ; Mogensen, Preben Elgaard ; Frederiksen, Frank

  • Author_Institution
    Center for PersonKommunikation, Aalborg, Denmark
  • Volume
    20
  • Issue
    6
  • fYear
    2002
  • fDate
    8/1/2002 12:00:00 AM
  • Firstpage
    1211
  • Lastpage
    1226
  • Abstract
    Theoretical and experimental studies of multiple-input/multiple-output (MIMO) radio channels are presented. A simple stochastic MIMO model channel has been developed. This model uses the correlation matrices at the mobile station (MS) and base station (BS) so that results of the numerous single-input/multiple-output studies that have been published in the literature can be used as input parameters. The model is simplified to the narrowband channels. The validation of the model is based upon data collected in both picocell and microcell environments. The stochastic model has also been used to investigate the capacity of MIMO radio channels, considering two different power allocation strategies, water filling and uniform and two different antenna topologies, 4×4 and 2×4. Space diversity used at both ends of the MIMO radio link is shown to be an efficient technique in picocell environments, achieving capacities within 14 b/s/Hz and 16 b/s/Hz in 80% of the cases for a 4×4 antenna configuration implementing water filling at a SNR of 20 dB.
  • Keywords
    MIMO systems; antenna arrays; channel capacity; correlation methods; diversity reception; matrix algebra; microcellular radio; picocellular radio; radio links; radiowave propagation; stochastic processes; MIMO radio link; SNR; antenna arrays; antenna topologies; base station; channel capacity; correlation matrices; input parameters; microcell environment; mobile station; multiple-input/multiple-output channels; narrowband channels; picocell environment; single-input/multiple-output channels; space diversity; stochastic MIMO radio channel model; stochastic model; uniform power allocation; water filling power allocation; Antenna measurements; Base stations; Decorrelation; Electronic mail; Filling; MIMO; Narrowband; Receiving antennas; Scattering; Stochastic processes;
  • fLanguage
    English
  • Journal_Title
    Selected Areas in Communications, IEEE Journal on
  • Publisher
    ieee
  • ISSN
    0733-8716
  • Type

    jour

  • DOI
    10.1109/JSAC.2002.801223
  • Filename
    1021913