Cart (Loading....) | Create Account
Close category search window

Multi-objective strategies for automatic cell planning of UMTS networks

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)
Jamaa, S.B. ; France Telecom R&D, Issy Les Moulineaux, France ; Altman, Z. ; Picard, J.M. ; Fourestie, B.

Automatic cell planning aims at optimizing coverage, capacity and quality of service by automatically adjusting antenna parameters and common channel powers. In certain cases, coverage and capacity can be antagonistic criteria, and their aggregation in a single cost function may turn out to be inefficient. Such a scenario may occur when the environment is hilly, when certain sites are unavailable, and in general, when coverage objectives are difficult to achieve using a manual design process. To tackle this difficult and challenging problem, a multi-objective genetic algorithm has been developed and utilized as the optimization engine of the automatic cell planner (ACP). An example of network optimization in a heterogeneous and hilly environment is presented and the robustness of the optimization is illustrated.

Published in:

Vehicular Technology Conference, 2004. VTC 2004-Spring. 2004 IEEE 59th  (Volume:4 )

Date of Conference:

17-19 May 2004

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 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.