• DocumentCode
    1940080
  • Title

    Optimizing multiantenna systems with partial channel knowledge

  • Author

    Moustakas, Aris L. ; Simon, Steven H.

  • Author_Institution
    Lucent Technol., Whippany, NJ, USA
  • Volume
    1
  • fYear
    2003
  • fDate
    1-4 July 2003
  • Firstpage
    217
  • Abstract
    In this paper we consider a narrowband point-to-point communication system with multiple transmitters with the receiver having perfect channel knowledge and the transmitter having only limited channel information. We focus on two canonical classes of channel models: (a) the channel has zero mean with an arbitrary covariance matrix and (b) the channel has nonzero mean with covariance matrix proportional to unity. In both cases we present simple analytic expressions for the ergodic average and the cumulative distribution function of the mutual information for arbitrary input (transmission) signal covariance. With minimal numerical effort, we then determine the ergodic and outage capacities and the input signal covariances which achieve these maximal capacities. We thus show how a transmitter with partial channel knowledge (either knowing the mean channel or the signal covariance) should correlate its transmissions to maximize throughput.
  • Keywords
    MIMO systems; antenna arrays; covariance matrices; optimisation; MIMO systems; arbitrary covariance matrix; cumulative distribution function; ergodic average; multiantenna system optimisation; narrowband point-to-point communication system; nonzero mean channel; partial channel knowledge; zero mean channel; Array signal processing; Covariance matrix; Distribution functions; Eigenvalues and eigenfunctions; Feedback; MIMO; Mutual information; Narrowband; Throughput; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Its Applications, 2003. Proceedings. Seventh International Symposium on
  • Print_ISBN
    0-7803-7946-2
  • Type

    conf

  • DOI
    10.1109/ISSPA.2003.1224679
  • Filename
    1224679