• DocumentCode
    48079
  • Title

    Error probability performance analysis for multicarrier direct sequence code division multiple access multiple-input–multiple-output systems over correlated η–µ fading channels

  • Author

    Amok, James Osuru Mark ; Saad, N.M.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. Teknol. PETRONAS, Tronoh, Malaysia
  • Volume
    8
  • Issue
    17
  • fYear
    2014
  • fDate
    11 27 2014
  • Firstpage
    2971
  • Lastpage
    2983
  • Abstract
    The authors investigate the performance of multiple-input-multiple-output multicarrier direct sequence code division multiple access system operating over arbitrarily and equally correlated η-μ fading channels in terms of average bit error probability and average symbol error probability. Closed form expressions for average error probability using moment generating function-based approach are derived and expressed in terms of Lauricella´s multivariate hypergeometric functions. Furthermore, based on numerical results, they observe that the performance of the system improves when the number of multipath clusters increases as well as the number of subcarriers (frequency diversity). Similarly, substantial enhancement in system performance is observed due to the effect of spatial diversity. Finally, they verify the results via Monte Carlo simulation-based method to support the accuracy of the analytical approach and also compare with already published ones.
  • Keywords
    MIMO communication; Monte Carlo methods; Nakagami channels; code division multiple access; error statistics; spread spectrum communication; Lauricella multivariate hypergeometric function; MIMO systems; Monte Carlo simulation based method; bit error probability; correlated η-μ fading channels; error probability performance analysis; moment generating function based approach; multicarrier direct sequence code division multiple access; multipath cluster; multiple-input multiple-output system; symbol error probability;
  • fLanguage
    English
  • Journal_Title
    Communications, IET
  • Publisher
    iet
  • ISSN
    1751-8628
  • Type

    jour

  • DOI
    10.1049/iet-com.2014.0046
  • Filename
    6962925