• DocumentCode
    1646916
  • Title

    Joint multiuser detection and beamforming with power control in synchronous CDMA system

  • Author

    Li, Ji-long ; Wu, Xiao-guang ; Wang, Bing ; Deng, Gang ; Zhang, Ping

  • Author_Institution
    Beijing Univ. of Posts & Telecommun.
  • Volume
    2
  • fYear
    2005
  • Firstpage
    1476
  • Abstract
    Power control, beamforming and multiuser detection (MUD) can suppress interference in CDMA systems. In this paper by exploiting characteristic of beamforming and MUD, we propose a new decorrelating multiuser detection algorithm from beamforming gain and correlating matrix. For computation complexity, we further propose an algorithm of decorrelating MUD on clustered users. While beamforming can cancel out most of the interference from users out of cluster, MUD for clustered users can suppress the remaining interference. This algorithm can cancel out most of the MAI and at the same time need much less computation. Simulation results show the improvement brought by this algorithm
  • Keywords
    array signal processing; code division multiple access; decorrelation; interference suppression; matrix algebra; multiuser detection; power control; MUD decorrelation; beamforming gain; code division multiple access; computation complexity; interference suppression; joint multiuser detection; matrix correlation; power control; synchronous CDMA system; Array signal processing; Clustering algorithms; Code division multiplexing; Decorrelation; Interference cancellation; Interference suppression; Multiaccess communication; Multiple access interference; Multiuser detection; Power control; beamforming; multiuser detection; power control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, 2005. MAPE 2005. IEEE International Symposium on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-9128-4
  • Type

    conf

  • DOI
    10.1109/MAPE.2005.1618204
  • Filename
    1618204