• DocumentCode
    2802956
  • Title

    A grouping strategy for parallel group detection in synchronous gaussian CDMA channels

  • Author

    Marçal, Marcelo F. ; Vinhoza, Tiago T V ; Backx, Fabian D. ; Sampaio-Neto, Raimundo

  • Author_Institution
    CETUC/PUC, Rio de Janeiro
  • fYear
    2006
  • fDate
    3-6 Sept. 2006
  • Firstpage
    426
  • Lastpage
    431
  • Abstract
    In this paper a group detection technique is addressed. After recalling some concepts of the decorrelating detector and the optimum multiuser detector, a parallel group detector which combines the advantages of both structures is introduced. The receiver derived here exploits the signal users´ correlation in an uplink synchronous code-division multiple access channel, resulting in a structure whose performance ranges from the decorrelating detector to the optimum multiuser detector, depending on the number of groups and on the number of users assigned to those groups. As in group detection the problem of how to compose groups arises, a grouping strategy that minimizes the bit error probability of the user with worst performance in the entire system is developed. Examples illustrating the performance of the proposed grouping strategy are also provided.
  • Keywords
    Gaussian channels; code division multiple access; error statistics; multiuser detection; bit error probability; grouping strategy; multiuser detector; parallel group detection; synchronous Gaussian CDMA channels; uplink synchronous code-division multiple access channel; AWGN; Background noise; Base stations; Decorrelation; Detectors; Direct-sequence code-division multiple access; Matched filters; Multiaccess communication; Multiple access interference; Multiuser detection; CDMA; Decorrelating Detector; Multiuser Detection; Optimum Detector; Parallel Group Detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications Symposium, 2006 International
  • Conference_Location
    Fortaleza, Ceara
  • Print_ISBN
    978-85-89748-04-9
  • Electronic_ISBN
    978-85-89748-04-9
  • Type

    conf

  • DOI
    10.1109/ITS.2006.4433311
  • Filename
    4433311