By Topic

A modified Hopfield neural network algorithm for cellular radio channel assignment

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
N. A. El-Fishawy ; Dept. of Electr. Commun., Fac. of Electron. Eng., Menouf, Egypt ; M. M. Hadhood ; S. Elnoubi ; W. El-Sersy

Since the frequency spectrum of the mobile radio communications is limited the channel assignment problem deserves more attention in order to use the available frequency spectrum with optimum efficiency. A new channel assignment algorithm using a modified Hopfield (1985) neural network is proposed by Kim and Nasrabadi (see IEEE Trans. on Vehicular Technology, vo.46, no.4, p.957-67, 1997). In this paper we propose various initialization techniques based on multilevel rearrangement of the channels before applying the algorithm of Kim et al. to decrease the number of iteration and improve the convergence rate. These techniques will guarantee that the neural network will skip the local minimum, and in all cases will converge to optimum arrangement of the channels. The specific characteristics of the channel assignment problem in the cellular radio network such as co-site constraints, adjacent channel constraints, and co-channel constraints are considered with the implementation of the preassignment techniques. The results of the proposed techniques are compared with other prior reported techniques for the same eight benchmark problems. The comparison shows the merits of the proposed initialization techniques

Published in:

Vehicular Technology Conference, 2000. IEEE-VTS Fall VTC 2000. 52nd  (Volume:3 )

Date of Conference: