• DocumentCode
    3064002
  • Title

    Fast Performance Prediction of Iterative MMSE-IC Receivers in MU-MIMO CDMA Systems

  • Author

    Lalam, Massinissa ; Visoz, Rapha-el ; Berthet, Antoine O.

  • Author_Institution
    Orange Labs., Issy-les-Moulineaux, France
  • fYear
    2009
  • fDate
    20-23 Sept. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Abstract-This paper presents a semi-analytical method to predict the performance of iterative interference cancellers used in advanced multiuser MIMO CDMA systems. At the receiver side, the orthogonality between codes is restored by a chip rate equalization allowing the transmitted symbols to be subsequently estimated by a simple correlations. The proposed prediction method is based on Signal to Interference-plus-Noise Ratio (SINR) tracking and Average Mutual Information (AMI) compression. Therefore, the SINR at symbol level after despreading is analytically derived and injected into the algorithm. Simulations confirm that the method provides accurate performance prediction and is fast enough to be integrated in radio resource management and link adaptation mechanisms of advanced MIMO CDMA/MC-CDMA systems using powerful interference cancellation techniques.
  • Keywords
    MIMO systems; code division multiple access; equalisers; multiuser channels; average mutual information compression; chip rate equalization; fast performance prediction; iterative MMSE-IC receivers; link adaptation mechanisms; multiuser MIMO CDMA systems; radio resource management; signal-to-interference-plus-noise ratio tracking; Algorithm design and analysis; Ambient intelligence; Interference cancellation; Iterative methods; MIMO; Multiaccess communication; Mutual information; Prediction methods; Signal restoration; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference Fall (VTC 2009-Fall), 2009 IEEE 70th
  • Conference_Location
    Anchorage, AK
  • ISSN
    1090-3038
  • Print_ISBN
    978-1-4244-2514-3
  • Electronic_ISBN
    1090-3038
  • Type

    conf

  • DOI
    10.1109/VETECF.2009.5378680
  • Filename
    5378680