By Topic

Genetic approach to radio network optimization for mobile 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)
Calegari, P. ; Dept. de Comput. Sci., Ecole Polytech. Fed. de Lausanne, Switzerland ; Guidec, F. ; Kuonen, P. ; Wagner, D.

Size and complexity of future UMTS radio networks make their planning very difficult. This paper focuses on the radio coverage problem, that is, to cover a maximum surface of a given geographical region at an optimal cost. This combinatorial optimization problem is solved with a bioinspired genetic algorithm. A first prototype runs in parallel on a network of workstations. The obtained results are shown and discussed

Published in:

Vehicular Technology Conference, 1997, IEEE 47th  (Volume:2 )

Date of Conference:

4-7 May 1997