• DocumentCode
    759065
  • Title

    Another look at the performance of MRC schemes in Nakagami-m fading channels with arbitrary parameters

  • Author

    Aalo, Valentine A. ; Piboongungon, Terwat ; Efthymoglou, George P.

  • Author_Institution
    Dept. of Electr. Eng., Florida Atlantic Univ., Boca Raton, FL, USA
  • Volume
    53
  • Issue
    12
  • fYear
    2005
  • Firstpage
    2002
  • Lastpage
    2005
  • Abstract
    In this letter, we take a close look at the performance of maximal ratio combining (MRC) schemes operating in a flat-Nakagami-m fading environment with arbitrary fading parameters. We derive an expression for the probability density function (pdf) of the output signal-to-noise ratio (SNR) by expressing the moment generating function of the output SNR in the form of multiple Barnes-type contour integrals. By evaluating the inverse transform and converting the multiple contour integrals into infinite series, we are able to derive an expression for the pdf of the output SNR when the Nakagami fading parameters along the diversity branches take on real and arbitrary values. Consequently, the average bit-error rate can now be expressed in terms of Lauricella´s multivariate hypergeometric function, which can be easily evaluated numerically. Special cases of the main results reduce to known results in the literature. The results, which apply to independent as well as correlated diversity branches, will be useful for predicting the system performances when the Nakagami fading parameters are real and arbitrary.
  • Keywords
    Nakagami channels; diversity reception; error statistics; integral equations; probability; Lauricella multivariate hypergeometric function; SNR; arbitrary fading parameters; bit-error rate; correlated diversity branches; flat-Nakagami-m fading channels; inverse transform; maximal ratio combining schemes; multiple Barnes-type contour integrals; output signal-to-noise ratio; probability density function; Bit error rate; Diversity reception; Fading; Interference; Nakagami distribution; Probability density function; Rayleigh channels; Signal to noise ratio; System performance; Wireless communication; Lauricella´s hypergeometric functions; Nakagami-; maximal ratio combining (MRC);
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2005.860089
  • Filename
    1556824