2011 | OriginalPaper | Buchkapitel
On Improving the Capacity of Solving Large-scale Wireless Network Design Problems by Genetic Algorithms
verfasst von : Fabio D’Andreagiovanni
Erschienen in: Applications of Evolutionary Computation
Verlag: Springer Berlin Heidelberg
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Over the last decade, wireless networks have experienced an impressive growth and now play a main role in many telecommunications systems. As a consequence, scarce radio resources, such as frequencies, became congested and the need for effective and efficient assignment methods arose. In this work, we present a
Genetic Algorithm
for solving large instances of the
Power, Frequency and Modulation Assignment Problem
, arising in the design of wireless networks. To our best knowledge, this is the first Genetic Algorithm that is proposed for such problem. Compared to previous works, our approach allows a wider exploration of the set of power solutions, while eliminating sources of numerical problems. The performance of the algorithm is assessed by tests over a set of large realistic instances of a
Fixed WiMAX Network
.