• DocumentCode
    687832
  • Title

    Joint relay selection and power allocation in cooperative FSO networks

  • Author

    Hui Zhou ; Donglin Hu ; Shiwen Mao ; Agrawal, Pulin

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Auburn Univ., Auburn, AL, USA
  • fYear
    2013
  • fDate
    9-13 Dec. 2013
  • Firstpage
    2418
  • Lastpage
    2423
  • Abstract
    Cooperative diversity is considered as an effective means for combating weather turbulence in FSO networks. We investigate the problem of maximizing the FSO network-wide throughput under constraint of a given power budget and a number of FSO transceivers. The problem is formulated as a Mixed Integer Nonlinear Programming (MINLP) problem. We propose both centralized and distributed algorithms using bipartite matching and convex optimization to obtain highly competitive solutions. The proposed algorithms are shown to outperform the non-cooperative scheme and an existing relay selection protocol with considerable gains through simulations.
  • Keywords
    integer programming; nonlinear programming; optical communication; optical transceivers; FSO transceivers; MINLP problem; bipartite matching; centralized algorithms; convex optimization; cooperative FSO networks; cooperative diversity; distributed algorithms; joint relay selection; mixed integer nonlinear programming problem; power allocation; power budget; relay selection protocol; weather turbulence; Base stations; Distributed algorithms; Meteorology; Relays; Resource management; Throughput; Transceivers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Communications Conference (GLOBECOM), 2013 IEEE
  • Conference_Location
    Atlanta, GA
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2013.6831436
  • Filename
    6831436