• DocumentCode
    2947527
  • Title

    Belief Propagation for Coded Multiuser Detection

  • Author

    Tan, Peng Hui ; Rasmussen, Lars K.

  • Author_Institution
    Inst. of Infocomm Res.
  • fYear
    2006
  • fDate
    9-14 July 2006
  • Firstpage
    1919
  • Lastpage
    1923
  • Abstract
    In this paper a simplified parallel belief propagation (BP) algorithm is suggested as a suboptimal soft-input soft-output multiuser detector in an iterative multiuser decoding scheme. The iterative decoding scheme itself is based on applying an outer BP algorithm for message passing between the BP multiuser detector and the single-user decoders. The performance of the iterative decoding process is investigated based on parallel scheduling of the outer BP algorithm. In addition, we analyze the large system BER performance of the corresponding multiuser decoding algorithms. By making Gaussian assumptions on the output of the single-user decoders and the BP multiuser detector, we derive expressions which describe approximately the BER performance of the algorithms. Finally, numerical examples are presented, demonstrating the accuracy of this approximation
  • Keywords
    Gaussian processes; approximation theory; error statistics; iterative decoding; multiuser detection; parallel processing; scheduling; BER; Gaussian assumptions; belief propagation; coded multiuser detection; iterative multiuser decoding scheme; message passing; parallel scheduling; suboptimal soft-input soft-output multiuser detector; Algorithm design and analysis; Belief propagation; Bit error rate; Detectors; Iterative algorithms; Iterative decoding; Message passing; Multiuser detection; Performance analysis; Scheduling algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2006 IEEE International Symposium on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    1-4244-0505-X
  • Electronic_ISBN
    1-4244-0504-1
  • Type

    conf

  • DOI
    10.1109/ISIT.2006.261815
  • Filename
    4036302