Cellular mobile communication systems and a channel assignment using neural networks

4 December 2002

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

p. 411-414
https://doi.org/10.1109/mwscas.1990.140741

Abstract

The authors formulate a new dynamic channel assignment method as a coloring problem in a network with an edge weight and show that the problem is NP-complete. They propose an application of neural networks to the channel assignment problem in a cellular mobile radio communication system. The computer simulations show that the channel assignment method using a neural network gives a higher spectral efficiency than usual methods.<>

Keywords

CELLULAR NETWORKS
MOBILE COMMUNICATION
CELLULAR NEURAL NETWORKS
NEURAL NETWORKS
GRAPH THEORY
LAND MOBILE RADIO
INTERFERENCE
HOPFIELD NEURAL NETWORKS
HEURISTIC ALGORITHMS
SYSTEM PERFORMANCE

This publication has 2 references indexed in Scilit:

“Neural” computation of decisions in optimization problems
Biological Cybernetics, 1985
Telephone traffic in mobile radio communication system using dynamic frequency assignments
IEEE Transactions on Vehicular Technology, 1980