• DocumentCode
    1981268
  • Title

    Error Rate Performance of Network-Coded Cooperative Diversity Systems

  • Author

    Nasri, Amir ; Schober, Robert ; Uysal, Murat

  • Author_Institution
    Univ. of British Columbia, Vancouver, BC, Canada
  • fYear
    2010
  • fDate
    6-10 Dec. 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, we study network-coded cooperative diversity (NCCD) systems comprising multiple sources, one relay, and one destination. The relay detects the packets received from all sources and performs Galois field network coding. We propose a simple cooperative maximum-ratio combining scheme for the destination which is shown to achieve the maximum diversity gain of the system. Furthermore, we provide a mathematical framework for the asymptotic analysis of NCCD systems with M-ary modulation for high signal-to-noise ratios. Based on this framework, we derive simple and elegant closed- form expressions for the asymptotic symbol and bit error rates which provide significant insight into the impact of various system and channel parameters on performance and can be exploited for performance optimization. Simulation results confirm the accuracy of the presented analysis and show that large performance gains are possible by optimizing the power allocation in NCCD systems based on the developed analytical results.
  • Keywords
    Galois fields; error statistics; network coding; Galois field network coding; M-ary modulation; asymptotic analysis; asymptotic symbol; bit error rate; closed-form expression; error rate performance; maximum diversity gain; network-coded cooperative diversity system; power allocation; signal-to-noise ratio; Binary phase shift keying; Bit error rate; Diversity methods; Diversity reception; Relays; Signal to noise ratio; Silicon;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference (GLOBECOM 2010), 2010 IEEE
  • Conference_Location
    Miami, FL
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4244-5636-9
  • Electronic_ISBN
    1930-529X
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2010.5683200
  • Filename
    5683200