• DocumentCode
    3244172
  • Title

    Free Deconvolution for MIMO Capacity Estimation

  • Author

    Ryan, Øyvind ; Debbah, Mérouane

  • Author_Institution
    Univ. of Oslo, Oslo
  • fYear
    2007
  • fDate
    4-7 Nov. 2007
  • Firstpage
    72
  • Lastpage
    76
  • Abstract
    In many channel measurement applications, one needs to estimate some characteristics of the channels based on a limited set of measurements. This is mainly due to the highly time varying characteristics of the channel. In this contribution, it will be shown how free probability can be used for channel capacity estimation in MIMO systems. Free probability has already been shown to be an invaluable tool for describing the asymptotic behaviour of many systems when the dimensions of the system get large (i.e. the number of antennas). In particular, introducing the notion of free deconvolution, we provide hereafter an asymptotically (in the number of antennas) unbiased capacity estimator (w.r.t. the number of observations) for MIMO channels impaired with noise. Another unbiased estimator (for any number of observations) is also constructed by slightly modifying the free probability based estimator. The framework is then extended to MIMO channels with phase off-set and frequency drift for which no estimator has been provided so far.
  • Keywords
    MIMO systems; channel capacity; channel estimation; deconvolution; MIMO capacity estimation; MIMO channels; MIMO systems; channel capacity estimation; channel measurement applications; free deconvolution; unbiased capacity estimator; Additive noise; Channel capacity; Covariance matrix; Deconvolution; Digital communication; Frequency estimation; MIMO; Mathematical model; Mathematics; Phase estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2007. ACSSC 2007. Conference Record of the Forty-First Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4244-2109-1
  • Electronic_ISBN
    1058-6393
  • Type

    conf

  • DOI
    10.1109/ACSSC.2007.4487167
  • Filename
    4487167