• DocumentCode
    749334
  • Title

    Capacity Bounds for MIMO Nakagami- m Fading Channels

  • Author

    Zhong, Caijun ; Wong, Kai-Kit ; Jin, Shi

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. Coll. London, London, UK
  • Volume
    57
  • Issue
    9
  • fYear
    2009
  • Firstpage
    3613
  • Lastpage
    3623
  • Abstract
    This paper studies the ergodic capacity limits of multiple-input multiple-output (MIMO) antenna systems with arbitrary finite number of antennas operating on general fading environments. Through the use of majorization theory, we first investigate in detail the ergodic capacity of Nakagami-m fading channels, for which we derive several ergodic capacity upper and lower bounds. We then show that a simple expression for the capacity upper bound is possible for high signal-to-noise ratio (SNR), which permits to analyze the impact of the channel fading parameter m on the ergodic capacity. The asymptotic behavior of the capacity in the large-system limit in which the number of antennas at one or both side(s) goes to infinity, is also addressed. Results demonstrate that the capacity scaling laws for Nakagami-m and Rayleigh-fading MIMO channels are identical. Finally, we employ the same technique to distributed MIMO (D-MIMO) systems undergoing composite log-normal and Nakagami fading, where we derive similar ergodic capacity upper and lower bounds. Monte Carlo simulation results are provided to verify the tightness of the proposed bounds.
  • Keywords
    MIMO communication; Monte Carlo methods; Nakagami channels; Rayleigh channels; antenna arrays; channel capacity; MIMO Nakagami-m fading channels; Monte Carlo simulation; Rayleigh-fading channel; channel capacity; composite log-normal fading; ergodic capacity limit; high signal-to-noise ratio; majorization theory; multiple-input multiple-output antenna system; Ergodic capacity; MIMO systems; Nakagami-$m$ distribution; log-normal; majorization theory;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2009.2021502
  • Filename
    4838931