• DocumentCode
    1632699
  • Title

    Diversity Analysis of coded SVD Schemes for MIMO Spatial Multiplexing Systems

  • Author

    Lee, Kyoung-Jae ; Lee, Inkyu

  • Author_Institution
    Sch. of Electr. Eng., Korea Univ., Seoul
  • fYear
    2008
  • Firstpage
    4703
  • Lastpage
    4707
  • Abstract
    When channel state information (CSI) is available at both transmit and receive sides, singular value decomposition (SVD) converts the MIMO channel into parallel subchannels. It is well-known that the diversity gain of the SVD scheme is limited by the subchannel gain with the smallest singular value. The SVD scheme can be combined with error correcting codes to compensate for the performance loss due to the smallest subchannel gain. In this paper, we provide the analysis of the diversity order for coded SVD schemes with arbitrary system configurations. When utilizing channel coding of code rate Rc for systems which transmit N streams with Nt transmit and Nr receive antennas, the maximum diversity order of the coded SVD schemes is derived as (Nt - lceilN . Rcrceil +1)(Nr - lceilN . Rcrceil +1). This analysis result shows that there is a tradeoff of the code rate and the diversity order in the coded SVD scheme and provides an insight for code design.
  • Keywords
    MIMO communication; antenna arrays; channel coding; diversity reception; error correction codes; multiplexing; singular value decomposition; MIMO channel; MIMO spatial multiplexing systems; channel coding; channel state information; coded SVD schemes; diversity gain; error correcting codes; receive antennas; singular value decomposition; transmit antennas; Channel coding; Channel state information; Communications Society; Diversity methods; MIMO; Performance analysis; Receiving antennas; Singular value decomposition; Transmitters; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2008. ICC '08. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2075-9
  • Electronic_ISBN
    978-1-4244-2075-9
  • Type

    conf

  • DOI
    10.1109/ICC.2008.881
  • Filename
    4533917