• DocumentCode
    2629448
  • Title

    Dynamic channel assignment for cellular mobile radio system using feedforward neural networks

  • Author

    Chan, P.T.H. ; Palaniswami, M. ; Everitt, D.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Melbourne Univ., Vic., Australia
  • fYear
    1991
  • fDate
    18-21 Nov 1991
  • Firstpage
    1242
  • Abstract
    Conventional dynamic channel assignment schemes are both time-consuming and algorithmically complex. An alternative approach using a multilayered feedforward neural network model is examined. The results of the neural network approach are compared with those of a maximum packing strategy technique. The comparison shows that the neural networks approach is well-suited to the dynamic channel allocation problem
  • Keywords
    cellular radio; frequency allocation; neural nets; telecommunication channels; telecommunications computing; cellular mobile radio; dynamic channel assignment; feedforward neural networks; maximum packing strategy; telecommunications computing; Base stations; Cellular networks; Cellular neural networks; Centralized control; Channel allocation; Feedforward neural networks; Land mobile radio; Multi-layer neural network; Neural networks; Telecommunication traffic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1991. 1991 IEEE International Joint Conference on
  • Print_ISBN
    0-7803-0227-3
  • Type

    conf

  • DOI
    10.1109/IJCNN.1991.170567
  • Filename
    170567