• DocumentCode
    2324025
  • Title

    Robust Design of Linear Mimo Transceivers Under Channel Uncertainty

  • Author

    Zhang, Xi ; Palomar, Daniel P. ; Ottersten, Björn

  • Author_Institution
    Dept. of Signals, Sensors & Syst., R. Inst. of Technol., Stockholm
  • Volume
    4
  • fYear
    2006
  • fDate
    14-19 May 2006
  • Abstract
    This paper considers the robust design of a linear transceiver with imperfect channel state information (CSI) at the transmitter of a MIMO link. The framework embraces the design problem when CSI at the transmitter consists of the channel mean and covariance matrix or, equivalently, the channel estimate and the estimation error covariance matrix. The design of the linear MIMO transceiver is based on a general cost function covering several well known performance criteria. In particular, two families are considered in detail: Schur-convex and Schur-concave functions. Approximations are used in the low SNR and high SNR regimes separately to obtain simple optimization problems that can be readily solved. Numerical examples show gains compared to other suboptimal methods
  • Keywords
    MIMO systems; channel estimation; covariance matrices; transceivers; wireless channels; SNR; Schur-concave functions; Schur-convex functions; channel estimate; channel mean; channel state information; channel uncertainty; cost function; estimation error covariance matrix; linear MIMO transceivers; multiple input multiple output systems; signal-to-noise ratio; Channel state information; Cost function; Covariance matrix; Feedback; MIMO; Robustness; Transceivers; Transmitters; Uncertainty; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
  • Conference_Location
    Toulouse
  • ISSN
    1520-6149
  • Print_ISBN
    1-4244-0469-X
  • Type

    conf

  • DOI
    10.1109/ICASSP.2006.1660909
  • Filename
    1660909