• DocumentCode
    3424546
  • Title

    Performance analysis of novel generalized selection combining in amplify-and-forward cooperative communications

  • Author

    Guo, Weidong ; Liu, Ju ; Zheng, Lina ; Liu, Yuxi

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan, China
  • fYear
    2010
  • fDate
    24-28 Oct. 2010
  • Firstpage
    1343
  • Lastpage
    1346
  • Abstract
    This paper presents an novel iterative generalized selection combining (IGSC) for amplify-and-forward (AF) cooperative communications based on error detection and rearranging the SNR of indirect link in decreasing order of magnitude. The destination node decides whether to accept incoming path or not in every time frame to reduce the excessive burden of maximal ratio combining (MRC) with all diversity paths. The incoming path is rearranged by the decreasing order of magnitude. Because of the computational complexity of the outage probability, we derive the upper and lower bound of the outage probability. The tightness of the upper bound is verified by Monte Carlo simulation. Numerical and simulation results show that the proposed method outperforms the conventional MRC in terms of outage probability.
  • Keywords
    Monte Carlo methods; amplify and forward communication; computational complexity; cooperative communication; diversity reception; error detection; iterative methods; probability; Monte Carlo simulation; amplify-and-forward cooperative communication; computational complexity; diversity path; error detection; iterative generalized selection combining; maximal ratio combining; outage probability; Diversity reception; Fading; Protocols; Relays; Signal to noise ratio; Simulation; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2010 IEEE 10th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-5897-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2010.5656990
  • Filename
    5656990