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
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;
Conference_Titel :
Neural Networks, 1991. 1991 IEEE International Joint Conference on
Print_ISBN :
0-7803-0227-3
DOI :
10.1109/IJCNN.1991.170567
