• DocumentCode
    2430923
  • Title

    Reduced-complexity LLL algorithm for lattice-reduction-aided MIMO detection

  • Author

    Liao, Chun-Fu ; Huang, Yuan-Hao

  • Author_Institution
    Dept. of Eelectrical Eng., Nat. Tsing-Hua Univ., Hsinchu, Taiwan
  • fYear
    2009
  • fDate
    1-4 Nov. 2009
  • Firstpage
    1451
  • Lastpage
    1455
  • Abstract
    In this paper, we propose a low-complexity constant-throughput LLL algorithm for lattice-reduction-aided (LRA) multi-input multi-output (MIMO) detection. The traditional LLL algorithm for the lattice reduction has a drawback of varying throughput due to the variable iteration loops for the size-reduction and LLL-reduction checks. To address this problem, we propose a constant-throughput LLL (CT-LLL) algorithm that is well suited for real-time implementation. We further propose some techniques to reduce the redundant operations in the CT-LLL algorithm so that the computational complexity can be reduced. Simulation and analysis results show that the proposed low-complexity CT-LLL algorithm reduces the complexity of the CT-LLL algorithm for 4×4 and 8×8 MIMO systems to 80% and 72.94%, respectively, with negligible performance degradation.
  • Keywords
    MIMO communication; computational complexity; iterative methods; computational complexity; lattice-reduction-aided MIMO detection; multiple-input multiple-output system; reduced-complexity LLL algorithm; variable iteration loops; Analytical models; Computational complexity; Computational modeling; Detectors; Diversity methods; Iterative algorithms; Lattices; MIMO; Maximum likelihood detection; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2009 Conference Record of the Forty-Third Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4244-5825-7
  • Type

    conf

  • DOI
    10.1109/ACSSC.2009.5469833
  • Filename
    5469833