• DocumentCode
    3006978
  • Title

    Performance evaluations of adaptive modulation over composite Nakagami-lognormal fading channels

  • Author

    Xu, Peili ; Zhou, Xiaolin ; Hu, Die

  • Author_Institution
    Dept. of Commun. Sci. & Eng., Fudan Univ., Shanghai, China
  • fYear
    2009
  • fDate
    8-10 Oct. 2009
  • Firstpage
    467
  • Lastpage
    470
  • Abstract
    The closed form expression for the sum of composite Nakagami-lognormal distributions is hard to obtain. Numerical integration approximation to the sum distribution provides sufficient accuracy but is too complicated to apply into further analysis. In this paper we investigate a simple analysis approach based on the least square method, which achieves the accuracy of numerical integration and has a simple expression. The approximation formula is specified and optimal values of coefficients are tabulated for reference. We further use the proposed analysis approach in analyzing the performance of adaptive transmission systems over MRC combined Nakagami-lognormal channels. Simple and closed form expressions for throughput and outage probability are also derived. Impact of different parameters of Nakagami-lognormal channels on the adaptive transmission system is discussed at the end.
  • Keywords
    Nakagami channels; adaptive modulation; least squares approximations; probability; MRC-combined Nakagami-lognormal channels; adaptive modulation; adaptive transmission systems; composite Nakagami-lognormal distributions; composite Nakagami-lognormal fading channels; least square method; numerical integration approximation; outage probability; sum distribution; Adaptive systems; Bit error rate; Diversity reception; Fading; Least squares approximation; Least squares methods; Nakagami distribution; Performance analysis; Shadow mapping; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2009. APCC 2009. 15th Asia-Pacific Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-4784-8
  • Electronic_ISBN
    978-1-4244-4785-5
  • Type

    conf

  • DOI
    10.1109/APCC.2009.5375590
  • Filename
    5375590