• DocumentCode
    463872
  • Title

    Robust MMSE Precoding for the MIMO Complex Gaussian Broadcast Channel

  • Author

    Duplicy, Jonathan ; Vandendorpe, Luc

  • Author_Institution
    Commun. & Remote Sensing Lab., Univ. Catholique de Louvain, Louvain-la-Neuve
  • Volume
    3
  • fYear
    2007
  • fDate
    15-20 April 2007
  • Abstract
    This paper addresses the design of the linear precoders and decoders of the complex Gaussian broadcast channel in which both the base station and the remote station are equipped with arrays of multiple antennas. An imperfect channel knowledge is assumed at the base station and the minimization of the sum of the mean square errors (MMSE) of the system´s substreams is chosen as optimization criterion. A stochastic approach is taken to make the design robust against the channel estimation errors. The solution is based on an iterative algorithm whose convergence is guaranteed. Simulations results emphasize the benefit of the proposed design.
  • Keywords
    Gaussian channels; MIMO communication; antenna arrays; broadcast channels; channel coding; channel estimation; least mean squares methods; optimisation; stochastic processes; MIMO complex Gaussian broadcast channel; MMSE precoding; base station; channel estimation; imperfect channel knowledge; iterative algorithm; linear decoders; linear precoders; minimization mean square errors; multiple antennas; optimization criterion; remote station; stochastic approach; Base stations; Broadcasting; Channel estimation; Decoding; Iterative algorithms; Linear antenna arrays; MIMO; Mean square error methods; Robustness; Stochastic processes; Broadcast channel; Least mean square methods; MIMO; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
  • Conference_Location
    Honolulu, HI
  • ISSN
    1520-6149
  • Print_ISBN
    1-4244-0727-3
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2007.366562
  • Filename
    4217736