• DocumentCode
    3425337
  • Title

    Power Optimization in IDMA with SNR and Differential Evolutions

  • Author

    Tassing, Remi ; Zhu, Guangxi ; Lin, Pei ; Yang, Yongli

  • Author_Institution
    Dept. of Electron. & Inf. Eng., HUST, Wuhan
  • fYear
    2008
  • fDate
    12-14 Oct. 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Interleave Division Multiple Access (IDMA) is a multiple access scheme where users are separated by the only means of interleavers. However, IDMA revealed to depend on power optimization because equal power repartition significantly deteriorates the performance when the system is heavy-loaded. Therefore, we propose the application of the genetic annealing Differential Evolution algorithm to SNR evolution for solving this optimum power allocation problem.
  • Keywords
    genetic algorithms; interleaved codes; multi-access systems; IDMA; SNR; differential evolutions; genetic annealing differential evolution algorithm; interleave division multiple access; multiple access scheme; power allocation; power optimization; Annealing; Convolutional codes; Genetics; Intersymbol interference; Laboratories; Multiaccess communication; Multiple access interference; Multiuser detection; Power engineering and energy; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-2107-7
  • Electronic_ISBN
    978-1-4244-2108-4
  • Type

    conf

  • DOI
    10.1109/WiCom.2008.44
  • Filename
    4677953