• DocumentCode
    2456547
  • Title

    On Capacity-Maximizing Angular Densities of Multipath in MIMO Channels

  • Author

    Levin, Georgy ; Loyka, Sergey

  • Author_Institution
    Sch. of Inf. Technol. & Eng., Univ. of Ottawa, Ottawa, ON, Canada
  • fYear
    2010
  • fDate
    6-9 Sept. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper provides a partial answer to the question: "what is the best angular density of multipath in MIMO channels?" using the size-asymptotic theory of Toeplitz matrices for uniform 2-D and 3-D antenna arrays. A Kronecker-type approximation of the array correlation structure is proposed and used to find the angular densities that completely eliminate correlation between any elements of antenna arrays and thus maximize the asymptotic MIMO capacity for a broad class of fading distributions. At half-wavelength spacing, the best angular density is shown to be non-uniform, which implies that the popular Clarke\´s (Jake\´s) model does not represent the best case scenario. The asymptotic results are validated via Monte-Carlo simulations, and a number of practical guidelines for antenna design and optimal orientation are provided.
  • Keywords
    MIMO communication; Monte Carlo methods; Toeplitz matrices; antenna arrays; approximation theory; wireless channels; 2D antenna arrays; 3D antenna arrays; Kronecker-type approximation; MIMO channels; Monte-Carlo simulations; Toeplitz matrices; antenna design; array correlation structure; capacity-maximizing angular densities; fading distributions; half-wavelength spacing; size-asymptotic theory; Antenna arrays; Antenna measurements; Approximation methods; Correlation; MIMO;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference Fall (VTC 2010-Fall), 2010 IEEE 72nd
  • Conference_Location
    Ottawa, ON
  • ISSN
    1090-3038
  • Print_ISBN
    978-1-4244-3573-9
  • Electronic_ISBN
    1090-3038
  • Type

    conf

  • DOI
    10.1109/VETECF.2010.5594087
  • Filename
    5594087