• DocumentCode
    2432200
  • Title

    Fuzzy Clustering Based Channel Allocation in Cellular Network

  • Author

    Ansari, A.Q. ; Saxena, P.C. ; Gupta, Koyel Datta

  • Author_Institution
    Dept. of Electr. Eng., Jamia Millia Islamia, New Delhi, India
  • fYear
    2012
  • fDate
    3-5 Nov. 2012
  • Firstpage
    815
  • Lastpage
    818
  • Abstract
    The paper addresses the problem of channel allocation in cellular network in a distributed environment with minimum message complexity and channel acquiring time. This is achieved by partitioning the cells of the network into clusters where one cell may belong to more than one cluster. The rapid increase in cellular communication requires a channel allocation scheme which is not only efficient but also reliable and scalable. In this paper we propose a technique where channel assignment is done in a distributed way as intra-cluster assignment. The performance of the technique is verified with simulation.
  • Keywords
    cellular radio; channel allocation; communication complexity; fuzzy set theory; pattern clustering; cellular communication; cellular network; channel acquiring time; channel assignment; distributed environment; fuzzy clustering based channel allocation; intracluster assignment; message complexity; Algorithm design and analysis; Channel allocation; Clustering algorithms; Delay; Heuristic algorithms; Interference; Mobile communication; blocking probability; channel acquisition delay; clustering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Communication Networks (CICN), 2012 Fourth International Conference on
  • Conference_Location
    Mathura
  • Print_ISBN
    978-1-4673-2981-1
  • Type

    conf

  • DOI
    10.1109/CICN.2012.117
  • Filename
    6375227