• DocumentCode
    2456391
  • Title

    Simplified Detection for MIMO Systems Using Diversity Maximizing Incremental Channel Partition

  • Author

    Radji, Djelili ; Leib, Harry

  • Author_Institution
    Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC, Canada
  • fYear
    2010
  • fDate
    6-9 Sept. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    MIMO communication is a core technology for wireless systems. This work presents an improved fixed complexity detection technique for underdetermined and overdetermined MIMO systems, based on a low complexity, diversity optimal, incremental channel partition. This new algorithm also employs a new efficient tree search implementation of the precancellation step. Because of these improvements, this algorithm provides substantial complexity gains while maintaining quasi-optimal performance, making it attractive for practical application.
  • Keywords
    MIMO communication; communication complexity; tree searching; wireless channels; MIMO communication; diversity optimal; fixed complexity detection technique; incremental channel partition; tree search implementation; wireless system; Bit error rate; Complexity theory; MIMO; Partitioning algorithms; Phase shift keying; Signal to noise ratio; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference Fall (VTC 2010-Fall), 2010 IEEE 72nd
  • Conference_Location
    Ottawa, ON
  • ISSN
    1090-3038
  • Print_ISBN
    978-1-4244-3573-9
  • Electronic_ISBN
    1090-3038
  • Type

    conf

  • DOI
    10.1109/VETECF.2010.5594079
  • Filename
    5594079