• DocumentCode
    2087346
  • Title

    Finite lattice-size effects in MIMO detection

  • Author

    Studer, C. ; Seethaler, D. ; Bolcskei, H.

  • Author_Institution
    Integrated Syst. Lab., ETH Zurich, Zurich
  • fYear
    2008
  • fDate
    26-29 Oct. 2008
  • Firstpage
    2032
  • Lastpage
    2037
  • Abstract
    Many powerful data detection algorithms employed in multiple-input multiple-output (MIMO) communication systems, such as sphere decoding (SD) and lattice-reduction (LR)-aided detection, were initially designed for infinite lattices. Detection in MIMO systems is, however, based on finite lattices. In this paper, we systematically study the consequences of finite lattice-size for the performance and complexity of MIMO detection algorithms formulated for infinite lattices. Specifically, we find, considering performance and complexity, that LR does not seem to offer advantages when used in conjunction with SD.
  • Keywords
    MIMO communication; communication complexity; decoding; matrix algebra; maximum likelihood detection; MIMO detection; data detection algorithms; finite lattice-size effects; lattice-reduction; multiple-input multiple-output communication; sphere decoding; Algorithm design and analysis; Channel state information; Decoding; Detection algorithms; Electronic mail; Laboratories; Lattices; MIMO; Performance loss; Receiving antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2008 42nd Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4244-2940-0
  • Electronic_ISBN
    1058-6393
  • Type

    conf

  • DOI
    10.1109/ACSSC.2008.5074789
  • Filename
    5074789