Genetic approach to radio network optimization for mobile systems
Patrice Calégari, Frédéric Guidec, Pierre Kuonen, Daniel Wägner · 2002
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.