• DocumentCode
    1298255
  • Title

    Exact Error Probability and Channel Capacity of the Best-Relay Cooperative-Diversity Networks

  • Author

    Ikki, Salama S. ; Ahmed, Mohamed H.

  • Author_Institution
    Univ. of Waterloo, Waterloo, ON, Canada
  • Volume
    16
  • Issue
    12
  • fYear
    2009
  • Firstpage
    1051
  • Lastpage
    1054
  • Abstract
    Cooperative diversity networks have recently been proposed as a way to form virtual antenna arrays without using collocated multiple antennas. In this paper, we consider adaptive decode-and-forward cooperative diversity system where a source node communicates with a destination node directly and indirectly (through multiple relays). In this letter, we investigate the performance of the best-relay selection scheme where the best relay only participates in the relaying. Therefore, two channels only are needed in this case (one for the direct link and the other one for the best indirect link) regardless of the total number of relays. The best relay is selected as the relay node that can achieve the highest signal-to-noise ratio at the destination node. We developed a general analytical model to analyze the performance of the adaptive decode-and-forward cooperative networks with best-relay selection. In particular, exact closed-form expressions for the error probability and Shannon capacity are derived over independent and nonidentical Rayleigh fading channels. Results show that the best-relay selection not only reduces the number of required channels but also can maintain a full diversity order.
  • Keywords
    Rayleigh channels; error statistics; radio networks; Rayleigh fading channels; Shannon capacity; adaptive decode-and-forward cooperative diversity system; best-relay cooperative-diversity networks; channel capacity; closed-form expressions; destination node; error probability; exact error probability; source node; Best relay selection; Rayleigh fading; channel capacity; cooperative diversity; decode-and-forward; dual-hop; error probability;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2009.2030094
  • Filename
    5204144