• DocumentCode
    1770206
  • Title

    An innovative approach for automatic frequency planning

  • Author

    Sghiri, Jinen ; Ayadi, Mounir

  • Author_Institution
    Higher Sch. of Commun. of Tunis (Sup´Com), Tunis, Tunisia
  • fYear
    2014
  • fDate
    17-19 June 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Radio frequency planning has been for a long time one of the major concerns of mobile network operator. In fact, due to the scarcity of the spectrum, one single frequency is reused many times in order to satisfy customer request. The reuse of frequency generates fatal interference that affects network capacity and service. In literature, many algorithms exist for automatic frequency planning; they differ by their complexity and results reliability. In this paper, we are interested to develop a new method for frequency planning based on Fuzzy Logic. The developed method has been tested on a restricted scenario and then compared with another developed tool based on a Genetic Algorithm method
  • Keywords
    frequency allocation; genetic algorithms; mobile communication; automatic frequency planning; fatal interference; frequency reuse; fuzzy logic; genetic algorithm method; mobile network operator; radio frequency planning; Annealing; Artificial neural networks; Fuzzy logic; Interference; Mobile communication; Planning; Reliability; Automatic frequency planning; fuzzy logic; genetic algorithm; interference; propagation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networks, Computers and Communications, The 2014 International Symposium on
  • Conference_Location
    Hammamet
  • Type

    conf

  • DOI
    10.1109/SNCC.2014.6866504
  • Filename
    6866504