• DocumentCode
    1708236
  • Title

    An analysis method of double fading MIMO channels including LOS environments

  • Author

    Taniguchi, Tetsuki ; Karasawa, Yoshio ; Tsuruta, Makoto

  • Author_Institution
    Dept. of Electron. Eng., Univ. of Electro-Commun., Chofu
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper gives an analysis method of i.i.d. (independent and identically distributed) double fading channels including LOS (line of sight) environment which are typically found in keyhole MIMO (multiple input multiple output) models. To investigate the potential of LOS double fading (double Rician fading) MIMO channels, the density function of SNR (Signal to Noise Ratio) which corresponds to the only one non-zero eigenvalue of channel correlation matrix is considered. After the description of the exact expression with an infinite series form, an approximation formula of SNR density with a simple monomial form is given utilizing Nakagami m approximation of Rician distribution. Through computer simulations, the effectiveness of the proposed formulae is verified, and the advantage of the approximated formula particular in case of large array size and/or large Rician factor is demonstrated.
  • Keywords
    MIMO communication; Rician channels; antenna arrays; LOS environments; channel correlation matrix; double Rician fading channel; double fading MIMO channels; line of sight; multiple input multiple output channel; non-zero eigenvalue; signal to noise ratio; Antennas and propagation; Computer simulation; Density functional theory; Fading; MIMO; Receiving antennas; Rician channels; Signal to noise ratio; Transmitters; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Personal, Indoor and Mobile Radio Communications, 2008. PIMRC 2008. IEEE 19th International Symposium on
  • Conference_Location
    Cannes
  • Print_ISBN
    978-1-4244-2643-0
  • Electronic_ISBN
    978-1-4244-2644-7
  • Type

    conf

  • DOI
    10.1109/PIMRC.2008.4699512
  • Filename
    4699512