• DocumentCode
    1936035
  • Title

    Asymptotic analysis of double-scattering channels

  • Author

    Hoydis, Jakob ; Couillet, Romain ; Debbah, Mérouane

  • Author_Institution
    Dept. of Telecommun., Supelec, Gif-sur-Yvette, France
  • fYear
    2011
  • fDate
    6-9 Nov. 2011
  • Firstpage
    1935
  • Lastpage
    1939
  • Abstract
    We consider a multiple-input multiple-output (MIMO) multiple access channel (MAC), where the channel between each transmitter and the receiver is modeled by the double-scattering channel model. Based on novel techniques from random matrix theory, we derive deterministic approximations of the mutual information, the signal-to-noise-plus-interference-ratio (SINR) at the output of the minimum-mean-square-error (MMSE) detector and the sum-rate with MMSE detection, which are almost surely tight in the large system limit. Moreover, we derive the asymptotically optimal transmit covariance matrices. Our simulation results show that the asymptotic analysis provides very close approximations for realistic system dimensions.
  • Keywords
    MIMO communication; electromagnetic wave scattering; least mean squares methods; matrix algebra; multi-access systems; wireless channels; MIMO; MMSE; SINR; deterministic approximation; double scattering channel asymptotic analysis; minimum-mean-square-error detector; multiple input multiple output multiple access channel; mutual information; random matrix theory; signal-to-noise-plus-interference-ratio; Approximation methods; Correlation; Ink; MIMO; Mutual information; Receiving antennas; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers (ASILOMAR), 2011 Conference Record of the Forty Fifth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4673-0321-7
  • Type

    conf

  • DOI
    10.1109/ACSSC.2011.6190361
  • Filename
    6190361