• DocumentCode
    2941385
  • Title

    Linear Precoding for Space-Time Coded MIMO Systems using Partial Channel State Information

  • Author

    Huang, Jane W. ; Au, Edward K S ; Lau, Vincent K N

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon
  • fYear
    2006
  • fDate
    9-14 July 2006
  • Firstpage
    391
  • Lastpage
    395
  • Abstract
    We address the problem of designing a linear precoder for space-time coded multiple-input multiple-output (MIMO) system with partial knowledge of channel state information at the transmitter (CSIT), subject to a total transmit power constraint. Assuming an uncorrelated flat-fading channel and using a maximum-likelihood detector at the receiver, we show that the derived precoder is a function of the noise variance, the eigenvalues of the estimated channel matrix and the eigenvalues of the codeword error matrix. From the results derived herein, it is observed that the power allocation on the eigenvalues of the precoder follows the water-pouring policy. Simulation results are provided to illustrate the significant performance gain achieved by using the proposed precoder even at moderate to large CSIT errors
  • Keywords
    MIMO systems; channel coding; eigenvalues and eigenfunctions; fading channels; linear codes; matrix algebra; maximum likelihood detection; precoding; space-time codes; channel matrix; channel state information at the transmitter; codeword error matrix; eigenvalues; linear precoding; maximum-likelihood detector; multiple-input multiple-output; noise variance; partial channel state information; power allocation; receiver; space-time coded MIMO systems; uncorrelated flat-fading channel; water-pouring policy; Channel state information; Constraint optimization; Design optimization; Eigenvalues and eigenfunctions; MIMO; Maximum likelihood detection; Maximum likelihood estimation; Power system modeling; Space technology; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2006 IEEE International Symposium on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    1-4244-0505-X
  • Electronic_ISBN
    1-4244-0504-1
  • Type

    conf

  • DOI
    10.1109/ISIT.2006.261697
  • Filename
    4035989