• DocumentCode
    3490935
  • Title

    An Enhanced Inversion Propagation Model Using Simple Genetic Algorithm for a Single Cell Coverage Prediction

  • Author

    Wang, Yuhao ; Zhou, Huilin ; Jiang, Hong

  • Author_Institution
    Sch. of Inf. Eng., Nanchang Univ., Nanchang
  • fYear
    2007
  • fDate
    21-25 Sept. 2007
  • Firstpage
    1120
  • Lastpage
    1123
  • Abstract
    In this paper, an enhanced inversion propagation model for a single cell coverage prediction is presented. We have simplified a complicated propagation problem to a system of large scale ill-condition equations by inversion method, which can be solved by simple genetic algorithm (GA) appropriately. The effectiveness of the proposed method has been demonstrated using experiments under various radio environments in Guang Dong, China. It was shown that the prediction results were approximately consistent with independent checking samples.
  • Keywords
    cellular radio; genetic algorithms; mobile communication; enhanced inversion propagation model; large scale ill condition equations; simple genetic algorithm; single cell coverage prediction; Computed tomography; Equations; Fading; Genetic algorithms; Genetic engineering; Large-scale systems; Loss measurement; Power system modeling; Predictive models; Propagation losses;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1311-9
  • Type

    conf

  • DOI
    10.1109/WICOM.2007.286
  • Filename
    4340061