• DocumentCode
    3326993
  • Title

    Robust Design of Linear MIMO Transceiver for Low SNR

  • Author

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

  • Author_Institution
    Dept. of Signal, Sensors & Syst., R. Inst. of Technol., Stockholm
  • fYear
    2005
  • fDate
    Oct. 28 2005-Nov. 1 2005
  • Firstpage
    398
  • Lastpage
    402
  • Abstract
    In practical systems, the design of linear MIMO transceivers should be robust to partial or imperfect channel state information (CSI). This paper considers the case in which only the second-order statistics of the channel is known at the transmitter while the receiver has a perfect CSI. In such a case, it is possible to optimally design robust MIMO transceivers 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 regime to obtain simple optimization problems that can be readily solved. Numerical examples show substantial gains compared to other methods
  • Keywords
    MIMO systems; matrix algebra; statistical analysis; transceivers; wireless channels; SNR; Schur-concave functions; Schur-convex functions; general cost function; imperfect channel state information; linear MIMO transceiver robust design; optimization problems; second-order statistics; Channel estimation; Channel state information; Cost function; Feedback; MIMO; Robustness; Sensor systems; Signal design; Transceivers; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2005. Conference Record of the Thirty-Ninth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    1-4244-0131-3
  • Type

    conf

  • DOI
    10.1109/ACSSC.2005.1599776
  • Filename
    1599776