• DocumentCode
    2882162
  • Title

    An accurate approximation to channel capacity of wireless communications systems

  • Author

    Qinghua Shi

  • Author_Institution
    Dept. of Electron. Eng., Univ. of Electro-Commun., Chofu, Japan
  • fYear
    2012
  • fDate
    21-23 Nov. 2012
  • Firstpage
    383
  • Lastpage
    387
  • Abstract
    The ergodic capacity of a wireless channel is usually obtained by averaging its conditional capacity over the probability density function (PDF) of the instantaneous SNR. In this paper, based on its integral representation and relevant Gauss quadrature rule, the conditional channel capacity is accurately approximated by a weighted sum of exponential functions of the instantaneous SNR. As such, the ergodic capacity of various wireless channels can be easily calculated and expressed in closed-form expressions. Several examples are provided to show the usefulness of the proposed approximation.
  • Keywords
    Gaussian channels; channel capacity; probability; radiocommunication; wireless channels; Gauss quadrature rule; PDF; conditional channel capacity; ergodic capacity; exponential function; instantaneous SNR; probability density function; weighted sum; wireless channel; wireless communications system; Approximation methods; Channel capacity; Diversity reception; MIMO; Rayleigh channels; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems (ICCS), 2012 IEEE International Conference on
  • Conference_Location
    Singapore
  • ISSN
    Pending
  • Print_ISBN
    978-1-4673-2052-8
  • Type

    conf

  • DOI
    10.1109/ICCS.2012.6406175
  • Filename
    6406175