• DocumentCode
    1360250
  • Title

    Unified Exact Performance Analysis of Two-Hop Amplify-and-Forward Relaying in Nakagami Fading

  • Author

    Senaratne, Damith ; Tellambura, C.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada
  • Volume
    59
  • Issue
    3
  • fYear
    2010
  • fDate
    3/1/2010 12:00:00 AM
  • Firstpage
    1529
  • Lastpage
    1534
  • Abstract
    We present a general two-parameter received signal-to-noise ratio (SNR) model for two-hop amplify-and-forward (AF) relaying. It encompasses AF schemes that select the relay gain as the reciprocal of a linear combination of the channel gain and the noise power of the incoming link, including all channel-noise-assisted, channel-assisted, and blind relay schemes. Moreover, the model is flexible enough to represent independent source and relay power allocations. A unified performance analysis is then developed for AF relaying over independent but nonidentically distributed Nakagami-m faded links, where m is an integer. Exact analytical expressions are derived for the cumulative-distribution function (cdf), probability density function (pdf), and moment-generating function (mgf) of the received SNR. Monte Carlo simulation results are provided to verify the results.
  • Keywords
    Monte Carlo methods; Nakagami channels; frequency hop communication; probability; Monte Carlo simulation; Nakagami fading; blind relay scheme; channel assisted scheme; channel gain; channel noise assisted scheme; cumulative distribution function; distributed Nakagami-m faded links; moment generating function; probability density function; relay power allocations; signal-to-noise ratio model; two hop amplify-and-forward relaying; unified exact performance analysis; Amplify-and-forward (AF) relaying; blind relaying; channel-assisted relaying; channel-noise-assisted relaying;
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2009.2038784
  • Filename
    5356191