• DocumentCode
    3276367
  • Title

    Bit-Wise Detection Algorithms for V-BLAST Systems

  • Author

    Lu, Guoquan ; Wang, He ; Chang, Yongyu ; Zhang, Xin ; Yang, Dacheng

  • Author_Institution
    Beijing Univ. of Posts & Telecommun., Beijing
  • fYear
    2008
  • fDate
    March 31 2008-April 3 2008
  • Firstpage
    694
  • Lastpage
    698
  • Abstract
    The Vertical Bell Laboratories Layered Space-Time (V-BLAST) scheme achieves very high spectral efficiency while maintaining low implementation complexity. There have been great efforts focusing on the V-BLAST detection algorithms. However, all these algorithms concentrate on the symbol-wise detection. In this paper, a bit-wise V-BLAST detection algorithm is proposed based on the fact that the bits in one modulation symbol may have different reliabilities depending on their mapping methods. This new algorithm regards bit, rather than symbol in traditional algorithms, as the minimum process unit to do the interference nulling, canceling and ordering. Considerable performance gains are achieved over the symbol-wise detection algorithms, which are demonstrated by simulations. Also, two simplified algorithms are proposed to reduce the computation complexity.
  • Keywords
    MIMO communication; computational complexity; interference suppression; signal detection; bit-wise V-BLAST detection algorithms; computation complexity; interference canceling; interference nulling; interference ordering; transmit antennas; vertical Bell Laboratories layered space-time scheme; Communications Society; Computational modeling; Detection algorithms; Helium; Interference cancellation; MIMO; Maintenance; Receiving antennas; Signal to noise ratio; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference, 2008. WCNC 2008. IEEE
  • Conference_Location
    Las Vegas, NV
  • ISSN
    1525-3511
  • Print_ISBN
    978-1-4244-1997-5
  • Type

    conf

  • DOI
    10.1109/WCNC.2008.128
  • Filename
    4489159