• DocumentCode
    2345809
  • Title

    Application research of evolution in cognitive radio based on GA

  • Author

    Zhang, Zhenyu ; Xie, Xiaoyao

  • Author_Institution
    Guizhou Univ., Guiyang
  • fYear
    2008
  • fDate
    3-5 June 2008
  • Firstpage
    1575
  • Lastpage
    1579
  • Abstract
    With the fast development of cognitive radio, best decision problem in cognitive radio receives considerable attention. This paper introduces the research of cognitive radio. Genetic algorithm and itpsilas applications in decision maker are introduced. Based on biologic evolution principle, genetic algorithm can get the system best parameters by dominant character. The cognitive cycle and genetic algorithm are introduced. Based on genetic algorithm, the genes and chromosomes of cognitive are proposed. Under different fitness rules, the cases of biologically inspired cognitive radio are studied. The limitation of Rieserpsilas CR mode based on GA is analyzed. The proposal for improvement is studied.
  • Keywords
    cognitive radio; decision making; decision theory; genetic algorithms; neural nets; telecommunication computing; Rieserpsilas cognitive radio mode; best decision problem; biologic evolution principle; chromosomes; decision making; fitness rules; genetic algorithm; neural network; Chromium; Cities and towns; Cognition; Cognitive radio; Engines; Evolution (biology); FCC; Genetic algorithms; Laboratories; Software radio; Cognitive Radio; Decision Maker; Evolution; Genetic Algorithm; Neural Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2008. ICIEA 2008. 3rd IEEE Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1717-9
  • Electronic_ISBN
    978-1-4244-1718-6
  • Type

    conf

  • DOI
    10.1109/ICIEA.2008.4582784
  • Filename
    4582784