• DocumentCode
    412623
  • Title

    Application of neuro-fuzzy technique to the bandwidth reservation for sectored cellular communications

  • Author

    Huang, Chenn-Jung ; Lai, Wei-Kuang

  • Author_Institution
    Inst. of Learning Technol., Nat. Hualien Teachers Coll., Taiwan
  • Volume
    2
  • fYear
    2003
  • fDate
    8-12 Dec. 2003
  • Firstpage
    958
  • Abstract
    Many mechanisms based on bandwidth reservation have been proposed in the literature to decrease connection blocking probability and connection dropping probability in cellular communications. The handoff events occur at a much higher rate in sectored cellular networks than in traditional cellular systems. An efficient bandwidth reservation mechanism for the neighboring cells is therefore critical in the process of handoff during the connection of multimedia calls to avoid the unwillingly forced termination and waste of limited bandwidth in the sectored cellular communications, particularly when the handoff traffic is heavy. A self-adaptive bandwidth reservation scheme which employs a neural fuzzy bandwidth-reserving estimator, is proposed, and the simulation results show that our scheme can achieve superior performance than traditional fixed bandwidth-reserving scheme in sectored cellular networks when performance metrics are measured in terms of the new call blocking probability and the forced termination probability.
  • Keywords
    bandwidth allocation; cellular radio; fuzzy neural nets; fuzzy systems; probability; cellular communication; cellular network; cellular system; connection blocking probability; connection dropping probability; forced termination probability; handoff traffic; multimedia call; neural fuzzy bandwidth-reserving estimator; Bandwidth; Cellular networks; Educational institutions; Land mobile radio cellular systems; Network topology; Resource management; Roads; Telecommunication traffic; Termination of employment; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2003. CEC '03. The 2003 Congress on
  • Print_ISBN
    0-7803-7804-0
  • Type

    conf

  • DOI
    10.1109/CEC.2003.1299770
  • Filename
    1299770