• DocumentCode
    859336
  • Title

    Fast Meta-heuristics for Multiuser Detection in DS-CDMA Systems

  • Author

    Wang, Shaowei

  • Author_Institution
    Dept. of Electron. Sci. & Eng., Nanjing Univ., Nanjing
  • Volume
    12
  • Issue
    9
  • fYear
    2008
  • fDate
    9/1/2008 12:00:00 AM
  • Firstpage
    615
  • Lastpage
    617
  • Abstract
    In (S. Wang et al., 2006), an evolution strategy (ES) multiuser detector was proposed and exhibits good performance. This letter analyzes the search behavior of the ES detector and points out it can be greatly enhanced via a simple technique. A heuristic multiuser detection algorithm is presented, which employs the neighborhood structure characteristics of the optimum multiuser detection (OMD) problem and produces local optima efficiently. A well-chosen perturbation strategy is applied to improve the solution quality in the following step. Simulations results show the meta-heuristic algorithm proposed can find the (near) optimum solution rapidly with lower computational complexity and has better bit error rate (BER) performance.
  • Keywords
    code division multiple access; computational complexity; error statistics; evolutionary computation; multiuser detection; search problems; spread spectrum communication; BER; DS-CDMA system; bit error rate; computational complexity; evolution strategy; meta-heuristic algorithm; optimum multiuser detection; perturbation strategy; search behavior; AWGN; Binary phase shift keying; Bit error rate; Computational complexity; Detectors; Heuristic algorithms; Maximum likelihood detection; Multiaccess communication; Multiuser detection; Symmetric matrices; Code-division multiple-access; meta-heuristics; multiuser detection;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2008.080324
  • Filename
    4623756