• DocumentCode
    2362924
  • Title

    On asymptotic capacity of coordinated multi-point MIMO channels

  • Author

    Chao-Kai Wen ; Kai-Kit Wong ; Shi Jin ; Jung-Chieh Chen ; Pangan Ting

  • Author_Institution
    Inst. of Commun. Eng., Nat. Sun Yat-sen Univ., Kaohsiung, Taiwan
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    2298
  • Lastpage
    2302
  • Abstract
    In this paper, we investigate the asymptotic mutual information expression and the capacity-achieving input covariance matrices for the coordinated multi-point multiple-input multiple-output (MIMO) antenna channels. In particular, it is considered that the numbers of antennas at the transmitter and receiver approach to infinity with a fixed ratio. Our derivations are based on novel techniques from large dimensional random matrix theory. In contrast to previous studies, we consider a general model in which the correlation matrices are generally nonnegative definite and the channel entries are non-Gaussian distributed. We show that the asymptotic capacity is invariant to all types of fading distribution. As such, the asymptotic mutual information expression is robust and has wide applicability.
  • Keywords
    MIMO communication; channel capacity; correlation theory; covariance matrices; fading channels; random processes; receiving antennas; statistical distributions; transmitting antennas; asymptotic channel capacity; asymptotic mutual information expression; coordinated multipoint MIMO antenna channel; correlation matrix; covariance matrix; fading distribution; multiple input multiple output; nonGaussian distribution; random matrix theory; receiver; transmitter; Correlation; Covariance matrix; Fading; MIMO; Mutual information; Transforms; Wireless communication; Asymptotic analysis; MIMO antennas; ergodic capacity; statistical eigenmode transmission;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2012 IEEE International Conference on
  • Conference_Location
    Ottawa, ON
  • ISSN
    1550-3607
  • Print_ISBN
    978-1-4577-2052-9
  • Electronic_ISBN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/ICC.2012.6363693
  • Filename
    6363693