• DocumentCode
    2491230
  • Title

    Binary versus symbolic performance prediction methods for iterative MMSE-IC multiuser MIMO joint decoding

  • Author

    Visoz, Raphaël ; Lalam, Massinissa ; Berthet, Antoine O.

  • Author_Institution
    Orange Labs., Issy-les-Moulineaux, France
  • fYear
    2009
  • fDate
    21-24 June 2009
  • Firstpage
    131
  • Lastpage
    135
  • Abstract
    This paper presents a dual mode fast performance prediction method for iterative minimum-mean square error interference cancellation based joint decoding in a very general multiuser MIMO setting, considering a transmission over block-fading frequency-selective channels. The symbolic mode relies on a signal to interference-plus-noise ratio compression at symbol level, by means of the mutual information effective signal-to-noise metric (MIESM), bridging the gap between the extrinsic information transfer (EXIT) charts and the compression methods developed for link-to-system interface. The binary mode follows the classical EXIT chart approach relying on a new analytical formula of the bit interleaved coded modulation average mutual information in presence of non-uniform a priori on input bits. This paper demonstrates the superiority of the symbolic mode for high order modulation.
  • Keywords
    MIMO communication; fading channels; interference suppression; interleaved codes; iterative decoding; least mean squares methods; modulation coding; multiuser channels; MMSE-IC multiuser MIMO joint decoding; bit interleaved coded modulation; block-fading frequency-selective channels; extrinsic information transfer; interference cancellation; iterative decoding; minimum mean square error methods; mutual information effective signal-to-noise metric; Frequency; Information analysis; Interference cancellation; Interleaved codes; Iterative decoding; Iterative methods; MIMO; Modulation coding; Mutual information; Prediction methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Advances in Wireless Communications, 2009. SPAWC '09. IEEE 10th Workshop on
  • Conference_Location
    Perugia
  • Print_ISBN
    978-1-4244-3695-8
  • Electronic_ISBN
    978-1-4244-3696-5
  • Type

    conf

  • DOI
    10.1109/SPAWC.2009.5161761
  • Filename
    5161761