• DocumentCode
    2934484
  • Title

    On the Capacity of Weibull Fading MIMO Channels under Different Adaptive Transmission Techniques

  • Author

    Xiao, Hailin ; Ouyang, Shan

  • Author_Institution
    Sch. of Inf. & Commun., Guilin Univ. of Electron. Technol., Guilin
  • Volume
    1
  • fYear
    2009
  • fDate
    6-8 Jan. 2009
  • Firstpage
    241
  • Lastpage
    245
  • Abstract
    Space-time block codes (STBCs) are known to orthogonalize the multiple-input multiple-out (MIMO) wireless channels. In this paper, we study the capacity of STBCs over Weibull MIMO channels under three adaptive transmission techniques: optimal power and rate adaptation (orpa), optimal rate adaptation with constant transmit power (ora) and channel inversion with fixed rate. In particular, we obtain closed-form expressions for channel capacity of orthogonalized Weibull MIMO channels under these adaptive transmission techniques. This capacity provides an upper bound on spectral efficiency using these techniques and avoids Monte-Carlo simulations. Moreover, we also examine the effects of the fading severity on the concerned quantities. The figures show that our theoretical results of channel capacity line up exactly with the simulations.
  • Keywords
    MIMO communication; Monte Carlo methods; Weibull distribution; block codes; fading channels; space-time codes; Monte-Carlo simulations; Weibull fading MIMO channels; adaptive transmission techniques; channel capacity; channel inversion; closed-form expressions; constant transmit power; multiple-input multiple-out wireless channels; optimal rate adaptation; orthogonalized Weibull MIMO channels; space-time block codes; Additive white noise; Block codes; Capacity planning; Channel capacity; Closed-form solution; MIMO; Mobile communication; Transmitters; Weibull fading channels; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Mobile Computing, 2009. CMC '09. WRI International Conference on
  • Conference_Location
    Yunnan
  • Print_ISBN
    978-0-7695-3501-2
  • Type

    conf

  • DOI
    10.1109/CMC.2009.119
  • Filename
    4796993