• DocumentCode
    1062529
  • Title

    SNR and SINR-based selection combining algorithms in the presence of arbitrarily distributed co-channel interferers

  • Author

    Radaydeh, Redha M.

  • Author_Institution
    Dept. of Electr. Eng., Jordan Univ. of Sci. & Technol., Irbid
  • Volume
    3
  • Issue
    1
  • fYear
    2009
  • fDate
    1/1/2009 12:00:00 AM
  • Firstpage
    57
  • Lastpage
    66
  • Abstract
    The performance of selection combining (SC) diversity in the presence of additive white Gaussian noise as well as multiple co-channel interfering signals over fading channels is analysed. The analysis considers two SC algorithms, namely, the signal-to-noise ratio-(SNR) based SC algorithm and the signal-to-interference-plus-noise ratio (SINR)-based SC algorithm. Closed-form expressions for the distribution of the resulting SINR and the outage probability performance are derived for both SC algorithms. The derived expressions are valid for arbitrary number of interfering signals, and when the desired signal replicas experience independent Rayleigh fading with generalised statistics. In addition, they are applicable for the general case when the interfering signals are subject to arbitrary fading models, which include the cases of identical, non-identical, correlated and mixed-mode fading scenarios. Numerical results are presented to examine the impact of different fading conditions and system parameters on the outage performance for both SC algorithms under consideration.
  • Keywords
    AWGN; Rayleigh channels; cochannel interference; error statistics; additive white Gaussian noise; closed-form expressions; independent Rayleigh fading; mixed-mode fading scenarios; multiple cochannel interfering signals; outage probability; selection combining diversity; signal-to-interference-plus-noise ratio; signal-to-noise ratio;
  • fLanguage
    English
  • Journal_Title
    Communications, IET
  • Publisher
    iet
  • ISSN
    1751-8628
  • Type

    jour

  • DOI
    10.1049/iet-com:20070582
  • Filename
    4745856