• DocumentCode
    1975342
  • Title

    What is the best angular density of multipath in MIMO channels?

  • Author

    Levin, G. ; Loyka, S.

  • Author_Institution
    Sch. of Inf. Technol. & Eng., Univ. of Ottawa, Ottawa, ON
  • fYear
    2009
  • fDate
    13-15 May 2009
  • Firstpage
    51
  • Lastpage
    54
  • Abstract
    While various models of multipath angular density are used for modeling MIMO fading channels, it is not known which one is the best, i.e. gives the highest channel capacity. We answer this question in two steps. First, we show that the asymptotic capacity of a broad class of MIMO channels (not necessarily Rayleigh-fading) with an arbitrary correlation structure does not depend on particular channel distribution, but only on the correlation between antennas. Second, the best multipath angular density, which eliminates the correlation and thus maximizes the asymptotic capacity of uniform linear antenna arrays, is shown to be non-uniform, which implies that the popular Clarke´s model does not represent the best-case scenario. We identify the best angular density for different values of the antenna spacing. The Gaussian angular density (adopted in IEEE 802.11n) is shown to be near optimum when the spacing equals to the wavelength. Based on these results, practical guidelines for the antenna array design are given.
  • Keywords
    Gaussian channels; MIMO communication; channel capacity; fading channels; linear antenna arrays; multipath channels; Gaussian angular density; MIMO fading channel modeling; asymptotic capacity; channel capacity; multipath angular density; uniform linear antenna array; Antenna arrays; Antennas and propagation; Channel capacity; Directive antennas; Fading; Guidelines; Information technology; Linear antenna arrays; MIMO; Rayleigh channels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2009. CWIT 2009. 11th Canadian Workshop on
  • Conference_Location
    Ottawa, ON
  • Print_ISBN
    978-1-4244-3400-8
  • Electronic_ISBN
    978-1-4244-3401-5
  • Type

    conf

  • DOI
    10.1109/CWIT.2009.5069519
  • Filename
    5069519