• DocumentCode
    1348976
  • Title

    A General Framework for Symbol Error Probability Analysis of Wireless Systems and Its Application in Amplify-and-Forward Multihop Relaying

  • Author

    Farhadi, Golnaz ; Beaulieu, Norman 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
    1505
  • Lastpage
    1511
  • Abstract
    New exact single-integral expressions for the evaluation of the average error probability of a wireless communication system are derived for a variety of modulation schemes in terms of the moment-generating function (MGF) of the reciprocal of the instantaneous received signal-to-noise ratio (SNR). The expressions obtained form a framework for performance evaluation of wireless communication systems for which the well-known MGF-based performance analysis method cannot be used, that is, systems for which the MGF of the instantaneous received SNR is not known or cannot be derived in closed-form. Using the framework obtained, the error probability performance in general fading of an amplify-and-forward (AF) multihop relaying system with both variable-gain and fixed-gain relays is then evaluated. In particular, a new expression for the MGF of the reciprocal of the instantaneous received SNR of an AF multihop system with fixed-gain relays is derived. Numerical examples show precise agreement between simulation results and theoretical results.
  • Keywords
    error statistics; radio networks; AF multihop relaying system; MGF-based performance analysis method; SNR; amplify-and-forward multihop relaying; fixed-gain relays; modulation schemes; moment-generating function; signal-to-noise ratio; symbol error probability framework; variable-gain relays; wireless communication system; Amplify-and-forward (AF) relaying; error probability; moment-generating function (MGF); multihop transmission;
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2009.2037642
  • Filename
    5345745