• DocumentCode
    2490549
  • Title

    Globally optimized dynamic channel assignment for cellular radio systems

  • Author

    Dang, Anhong ; Zhu, Shihua ; Cheng, Jiang

  • Author_Institution
    Xi´´an Jiaotong Univ., China
  • fYear
    1998
  • fDate
    22-24 Oct 1998
  • Abstract
    This paper presents a new channel assignment strategy named globally optimized dynamic channel assignment (GODCA). The GODCA differs from other strategies by consistently keeping the system in the utmost optimal state. The algorithm is simple and straightforward. It employs the Hopfield neural network for optimization which avoids the complicated assessment of channel compactness and guarantees optimum solution for every assignment. The analysis and simulations show that the GODCA algorithm can attain low blocking probability disregarding the traffic density of the system, hence, it has better performance than the conventional fixed and dynamic channel assignments
  • Keywords
    Hopfield neural nets; cellular radio; channel allocation; optimisation; probability; telecommunication computing; GODCA; Hopfield neural network; algorithm; cellular radio systems; conventional fixed channel assignment; dynamic channel assignment; globally optimized dynamic channel assignment; low blocking probability; optimum solution; performance; simulations; Algorithm design and analysis; Analytical models; Frequency; Hopfield neural networks; Land mobile radio cellular systems; Mobile communication; Performance analysis; Symmetric matrices; Telecommunication traffic; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Technology Proceedings, 1998. ICCT '98. 1998 International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    7-80090-827-5
  • Type

    conf

  • DOI
    10.1109/ICCT.1998.741151
  • Filename
    741151