• DocumentCode
    1699916
  • Title

    GSM Automatic Frequency Planning with the Aid of Genetic Algorithms

  • Author

    Amro, Iyad ; Ghanem, Wasel

  • Author_Institution
    Fac. of Inf. Technol., Birzeit Univ., Birzeit, Palestinian Authority
  • fYear
    2011
  • Firstpage
    73
  • Lastpage
    76
  • Abstract
    Due to the high demand of mobile services, and the full loading of the mobile allocated spectrum, a very tight frequency reuse schemes appeared, and high levels of interference occurred and due to the overlap of cells, which in turn made it very difficult to allocate frequencies for the different cells in the cellular system. Here in this seminar genetic algorithm was implemented as a method to get the optimum frequency allocation for such cases. Alphabetical encoding was used since the problem size and the number of cells in the scope is relatively large, an existing GSM network was used as a model to test the work. Different scenarios were applied on the genetic algorithm to tune and the system parameters and get best performing form of it for such problems.
  • Keywords
    cellular radio; encoding; genetic algorithms; radiofrequency interference; GSM automatic frequency planning; alphabetical encoding; genetic algorithms; mobile allocated spectrum; mobile services; optimum frequency allocation; system parameters; GSM; Genetic algorithms; Heuristic algorithms; Interchannel interference; Radio spectrum management; Sorting; Evloutionary Algorithm; GSM; Genetic Algorithm (GA); SDCCH; TCH; crossover; mutation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genetic and Evolutionary Computing (ICGEC), 2011 Fifth International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4577-0817-6
  • Electronic_ISBN
    978-0-7695-4449-6
  • Type

    conf

  • DOI
    10.1109/ICGEC.2011.26
  • Filename
    6042721