Close category search window
 

Hopfield neural networks for dynamic channel allocation in mobile communication systems

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
$31 $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)
Del Re, E. ; Dept. of Electron. Eng., Florence Univ., Italy ; Fantacci, R. ; Ronga, L. ; Giambene, G.

The increasing demand of new services in the field of radio-mobile communications is in contrast with the capacity constraints imposed by the present communications medias. For this reason the use of techniques capable of ensuring that the spectrum assigned to mobile communications will be better exploited, is gaining an ever increasing importance. The search for an effective channel allocation technique along with the attempt to lower the computational costs of the algorithm which performs such a technique, was the aim to be achieved in our research

Published in:
Global Telecommunications Conference, 1994. GLOBECOM '94. Communications: The Global Bridge., IEEE  (Volume:3 )

Date of Conference: 28 Nov- 2 Dec 1994

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.