• DocumentCode
    1472779
  • Title

    Performance of Amplify-and-Forward Cooperative Diversity Networks with Generalized Selection Combining over Nakagami-m Fading Channels

  • Author

    Chu, Shao-I

  • Author_Institution
    Dept. of Inf. Eng., I-Shou Univ., Kaohsiung, Taiwan
  • Volume
    16
  • Issue
    5
  • fYear
    2012
  • fDate
    5/1/2012 12:00:00 AM
  • Firstpage
    634
  • Lastpage
    637
  • Abstract
    This letter investigates the symbol error rate (SER) and outage behavior of the amplify-and-forward (AF) protocol with the generalized selection combining (GSC) scheme over Nakagami-m fading channels. The asymptotic expressions of the SER and outage probability at the high SNR regions have been derived. The diversity gain has been investigated as well. Simulation results verify the tightness and accuracy of the presented analysis at the high SNR regions. These results are quite simple and general for the arbitrary value of Nakagami-m fading figure. More importantly, the proposed approach is applicable to other fading channels. Performances for Rayleigh, Rician and Hoyt fading channels are also evaluated in this letter.
  • Keywords
    Nakagami channels; Rayleigh channels; Rician channels; amplify and forward communication; diversity reception; probability; protocols; Hoyt fading channel; Nakagami-m fading channel; Rayleigh fading channel; Rician fading channel; amplify-and-forward cooperative diversity network; amplify-and-forward protocol; asymptotic expression; generalized selection combining; outage behavior; outage probability; symbol error rate; Diversity reception; Error analysis; Protocols; Rayleigh channels; Relays; Signal to noise ratio; Amplify-and-forward (AF); Nakagami-m fading; diversity gain; generalized selection combining (GSC); outage probability; symbol error rate (SER);
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2012.031212.112443
  • Filename
    6171802