• DocumentCode
    1348914
  • Title

    Symbol Error Probability of Rectangular QAM in MRC Systems With Correlated \\eta \\mu Fa

  • Author

    Asghari, Vahid ; da Costa, Daniel Benevides ; Aissa, Sonia

  • Author_Institution
    Energie, Mater. et Telecommun. (EMT), Univ. of Quebec, Montreal, QC, Canada
  • Volume
    59
  • Issue
    3
  • fYear
    2010
  • fDate
    3/1/2010 12:00:00 AM
  • Firstpage
    1497
  • Lastpage
    1503
  • Abstract
    In the context of η- μ generalized fading scenarios, this paper provides a general closed-form expression for the average symbol error probability (SEP) of arbitrary M-ary quadrature amplitude modulation (QAM) constellations in maximal-ratio combining (MRC) schemes over non-identical correlated channels. For such a scenario, the moment-generating function (MGF) of the signal-to-noise ratio (SNR) at the combiner output is obtained by rearranging the Gaussian components used to model the correlation between the diversity branches. The average SEP is then derived in terms of Lauricella multivariate hypergeometric functions, which can be implemented in most popular numerical softwares, such as Mathematica. The proposed analytical expressions are validated through Monte Carlo simulations, and insightful discussions are provided from the numerical results.
  • Keywords
    Gaussian processes; Monte Carlo methods; diversity reception; error statistics; fading channels; quadrature amplitude modulation; Gaussian components; Lauricella multivariate hypergeometric functions; MGF; MRC schemes; MRC systems; Mathematica; Monte Carlo simulations; SEP; SNR; analytical expressions; arbitrary m-ary quadrature amplitude modulation; correlated η-μ fading channels; maximal-ratio combining; moment-generating function; numerical softwares; rectangular QAM; signal-to-noise ratio; symbol error probability; $eta$$mu$ fading; Correlated channels; maximal-ratio combining (MRC); rectangular quadrature amplitude modulation (QAM); symbol error probability (SEP);
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2009.2037638
  • Filename
    5345735