• DocumentCode
    10828
  • Title

    Performance Analysis of Relay Selection in the Presence of on–off Relay Traffic

  • Author

    Min Long ; Yunfei Chen ; Di Renzo, Marco

  • Author_Institution
    Dept. of Comput. & Commun. Eng., Changsha Univ. of Sci. & Technol., Changsha, China
  • Volume
    63
  • Issue
    6
  • fYear
    2014
  • fDate
    Jul-14
  • Firstpage
    2959
  • Lastpage
    2964
  • Abstract
    The outage probability and bit error rate averaged over the distribution of the number of relays in Nakagami- m fading channels are analyzed for full and partial relay selection (RS) schemes. This analysis considers a random number of relays caused by the relay´s own on-off traffic. Based on this analysis, optimization of the relaying time is performed, and the optimal values of the relaying time are obtained. Numerical results show that there do exist locally optimal values of the relaying time for different system settings. For average outage probability, the optimal value increases when the threshold increases, the m parameters decrease, or partial selection is used instead of full selection. For an average bit error rate, the optimal value increases when the average signal-to-noise ratio (SNR) decreases, the m parameters decrease, the number of relays increases, or partial selection is used instead of full selection.
  • Keywords
    Nakagami channels; error statistics; probability; relay networks (telecommunication); telecommunication traffic; Nakagami-m fading channels; RS schemes; SNR; average bit error rate; average signal-to-noise ratio; bit error rate; full relay selection scheme; on-off relay traffic; outage probability; partial relay selection scheme; performance analysis; relaying time optimization; Bit error rate; Equations; Fading; Mathematical model; Optimization; Relays; Signal to noise ratio; Bit error rate; outage probability; relay selection; relay selection (RS); traffic;
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2013.2293759
  • Filename
    6678664