• DocumentCode
    1154905
  • Title

    Reduced-Complexity Iterative Markov Chain MBER Detection for MIMO Systems

  • Author

    Sugiura, Shinya ; Chen, Sheng ; Hanzo, Lajos

  • Author_Institution
    Sch. of Electron. & Comput. Sci., Univ. of Southampton, Southampton
  • Volume
    16
  • Issue
    3
  • fYear
    2009
  • fDate
    3/1/2009 12:00:00 AM
  • Firstpage
    160
  • Lastpage
    163
  • Abstract
    A novel Markov chain (MC) representation aided minimum bit error rate (MBER) detection method is proposed for an M-QAM modulated SDM/SDMA uplink system. Compared to the conventional MBER scheme, the proposed MC-MBER scheme is capable of reducing the complexity imposed with the aid of its efficient detection candidate set generation assisted by the Markov chain process. Our performance results demonstrate that the MC-MBER multiuser detection (MUD) is capable of reducing the computational complexity by a factor of eight in comparison to the conventional MBER MUD in a rank-deficient system transmitting four 4-QAM substreams with the aid of two receive antennas, while achieving a BER performance comparable to that of the MBER MUD.
  • Keywords
    MIMO systems; Markov processes; computational complexity; error statistics; iterative methods; multiuser detection; quadrature amplitude modulation; space division multiple access; space division multiplexing; BER; M-QAM; MIMO systems; Markov chain process; SDM/SDMA uplink system; computational complexity; minimum bit error rate detection method; multiuser detection; reduced-complexity iterative Markov chain MBER detection; Bit error rate; Computational complexity; Detectors; Interference cancellation; Iterative decoding; MIMO; Monte Carlo methods; Multiaccess communication; Multiuser detection; Transmitting antennas; Markov chain Monte Carlo; minimum bit error rate; multiuser detection; soft interference cancellation;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2008.2010817
  • Filename
    4781942