2nd International ICST Conference on Communications and Networking in China

Research Article

A Novel Fading Amplitude Model and Performance Analysis of Diversity Combining Schemes

  • @INPROCEEDINGS{10.1109/CHINACOM.2007.4469466,
        author={Pavel Loskot and Norman  C. Beaulieu},
        title={A Novel Fading Amplitude Model and Performance Analysis of Diversity Combining Schemes},
        proceedings={2nd International ICST Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2008},
        month={3},
        keywords={Approximation methods  Binary phase shift keying  Bit error rate  Diversity reception  Electronic mail  Fading  Performance analysis  Random variables  Receiving antennas  Statistics},
        doi={10.1109/CHINACOM.2007.4469466}
    }
    
  • Pavel Loskot
    Norman C. Beaulieu
    Year: 2008
    A Novel Fading Amplitude Model and Performance Analysis of Diversity Combining Schemes
    CHINACOM
    IEEE
    DOI: 10.1109/CHINACOM.2007.4469466
Pavel Loskot1,*, Norman C. Beaulieu2,*
  • 1: Institute of Advanced Telecommunications University of Wales Swansea Singleton Park Swansea United Kingdom, SA2 8PP
  • 2: iCORE Wireless Communications Laboratory Department of Electrical and Computer Engineering University of Alberta Edmonton, Alberta, Canada, T6G 2V4
*Contact email: p.loskot@swan.ac.uk, beaulieu@ece.ualberta.ca

Abstract

A novel model for channel amplitude fading is proposed. In particular, the plane waves arriving at the receiver antenna are superimposed using a vector norm. Then, the correlations of branch fading amplitudes are well-defined and the moment generating function of the diversity combining output channel amplitude can be readily obtained. Useful analytical results for performance evaluation of one-stage and two-stage diversity combining schemes are presented. Average bit error rates are efficiently evaluated using the Prony approximation method. Furthermore, it is shown that order statistics of independent random variables correspond to the problem of dividing the random variables into three subsets of unordered random variables. This observation is used to obtain general expressions for the moment generating function of sums of order statistics.