• DocumentCode
    1765207
  • Title

    Detection for an AF Cooperative Diversity Network in the Presence of Interference

  • Author

    Ramezani-Kebrya, Ali ; Il-Min Kim ; Chan, Francois ; Inkol, R. ; Hyoung-Kyu Song

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
  • Volume
    17
  • Issue
    4
  • fYear
    2013
  • fDate
    41365
  • Firstpage
    653
  • Lastpage
    656
  • Abstract
    We consider an amplify-and-forward (AF) cooperative diversity network consisting of one source, multiple relays, one destination, and multiple interferers. It is assumed that only partial channel information of the interferers is known at the system. For this scenario, we derive an optimum/suboptimum detection rule. Furthermore, we propose an optimum relay power allocation scheme to maximize the instantaneous signal-to-interference-plus-noise-ratio (SINR). An exact and closed-form instantaneous BER expression is also presented. Numerical results demonstrate that the proposed scheme considerably outperforms the existing schemes.
  • Keywords
    amplify and forward communication; cooperative communication; error statistics; radiofrequency interference; relay networks (telecommunication); wireless channels; AF cooperative diversity network detection; SINR; amplify-and-forward cooperative diversity network; closed-form instantaneous BER expression; multiple interferers; multiple relays; optimum relay power allocation scheme; optimum-suboptimum detection rule; partial channel information; signal-to-interference-plus-noise-ratio; Bit error rate; Detectors; Interference; Relays; Resource management; Signal to noise ratio; Transmitters; Cooperative diversity networks; ML detection; interference;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2013.022213.122562
  • Filename
    6484070