• DocumentCode
    1888300
  • Title

    An efficient GA-based approach for fixed channel assignment in cellular radio networks

  • Author

    Cheng-Fa Tsai ; Lin, Feng-Cheng ; Tsai, Chun-Wei

  • Author_Institution
    Dept. of Manage. Inf. Syst., Nat. Pingtung Univ. of Sci. & Technol., Taiwan
  • Volume
    1
  • fYear
    2003
  • fDate
    16-20 July 2003
  • Firstpage
    384
  • Abstract
    The channel assignment problem is increasingly important in cellular radio networks. Since the utilizable range of the frequency spectrum is not unlimited, the optimal assignment problem for assigning appropriate channels among individual members of a cellular network is crucial for network designers. This study seeks a conflict-free inter-cell channel assignment that satisfies both traffic demand requirements and electromagnetic compatibility (EMC) constraints. Specifically, this investigation proposes a novel and efficient channel assignment approach in cellular radio networks using a modified genetic algorithm. Applying this approach to a well-known problem demonstrates that this new strategy clearly outperforms some existing algorithms.
  • Keywords
    cellular radio; channel allocation; electromagnetic compatibility; genetic algorithms; radio networks; cellular radio network; channel assignment; electromagnetic compatibility constraint; frequency spectrum; genetic algorithm; Electromagnetic compatibility; Frequency; Genetic algorithms; Genetic mutations; Intelligent networks; Land mobile radio cellular systems; Management information systems; Radio network; Symmetric matrices; Telecommunication traffic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Robotics and Automation, 2003. Proceedings. 2003 IEEE International Symposium on
  • Print_ISBN
    0-7803-7866-0
  • Type

    conf

  • DOI
    10.1109/CIRA.2003.1222120
  • Filename
    1222120