• DocumentCode
    2292551
  • Title

    Approximation of Largest Eigenvalue Distribution in Rician MIMO Channels

  • Author

    Taniguchi, Tetsuki ; Sha, Shen ; Karasawa, Yoshio ; Tsuruta, Makoto

  • Author_Institution
    Univ. of Electro-Commun. (UEC), Tokyo
  • fYear
    2007
  • fDate
    3-7 Sept. 2007
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents approximation formulae of statistical distributions of the largest eigenvalue of i.i.d. (independent and identically distributed) MIMO (multiple input multiple output) channel correlation matrices under Rician (Nakagami- Rice) fading environment. The proposed formulae are based on space diversity theory adopting MRC (maximal ratio combining) scheme under Nakagami m fading channel which is known as a good approximation of Nakagami-Rice fading, hence it well approximates the largest eigenvalue distribution in MIMO Rician channels. The derived marginal distributions have a simple monomial form which is suitable for calculations of various performance indices of MIMO systems. Computer simulations show that the proposed approximation formulae are effective and have a better precision than conventional one.
  • Keywords
    MIMO communication; Nakagami channels; Rician channels; eigenvalues and eigenfunctions; matrix algebra; Eigenvalue distribution approximation; MIMO channel correlation matrices; Nakagami m fading channel; Nakagami-Rice fading; Rician MIMO channels; Rician fading environment; maximal ratio combining scheme; multiple input multiple output; space diversity theory; statistical distributions; Diversity reception; Eigenvalues and eigenfunctions; Equations; Fading; High definition video; MIMO; Matrix decomposition; Nakagami distribution; Rician channels; Statistical distributions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Personal, Indoor and Mobile Radio Communications, 2007. PIMRC 2007. IEEE 18th International Symposium on
  • Conference_Location
    Athens
  • Print_ISBN
    978-1-4244-1144-3
  • Electronic_ISBN
    978-1-4244-1144-3
  • Type

    conf

  • DOI
    10.1109/PIMRC.2007.4394206
  • Filename
    4394206