• DocumentCode
    2024837
  • Title

    Channel Hardening and the Scheduling Gain of Antenna Selection Diversity Schemes

  • Author

    Dongwoon Bai ; Mitran, P. ; Ghassemzadeh, S.S. ; Miller, R.R. ; Tarokh, V.

  • Author_Institution
    Harvard Univ. Cambridge, Cambridge
  • fYear
    2007
  • fDate
    24-29 June 2007
  • Firstpage
    1066
  • Lastpage
    1070
  • Abstract
    For a multiple antenna system, we compute the asymptotic distribution of antenna selection gain when the transmitter selects the transmit antenna with the strongest channel. We use this to asymptotically estimate the underlying channel capacity distributions, and demonstrate that unlike multiple- input/multiple-output (MIMO) systems,the channel for antenna selection systems hardens at a slower rate, and thus a significant multiuser scheduling gain can exist. Additionally, even without this scheduling gain, it is demonstrated that transmit antenna selection systems outperform open loop MIMO systems at low signal-to-interference-plus-noise ratio (SINR) regimes, particularly for small number of receive antennas. This may have some implications on wireless system design, because most of the users in modern wireless systems have low SINRs.
  • Keywords
    MIMO communication; scheduling; transmitting antennas; antenna selection diversity schemes; antenna selection gain; antenna selection systems; asymptotic distribution; channel capacity distribution; channel hardening; multiple antenna system; multiple-input-multiple-output systems; multiuser scheduling gain; transmit antenna; Channel capacity; Costs; Covariance matrix; Distributed computing; MIMO; Processor scheduling; Receiving antennas; Signal to noise ratio; Transmitters; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2007. ISIT 2007. IEEE International Symposium on
  • Conference_Location
    Nice
  • Print_ISBN
    978-1-4244-1397-3
  • Type

    conf

  • DOI
    10.1109/ISIT.2007.4557365
  • Filename
    4557365