Title :
Genetic approach to radio network optimization for mobile systems
Author :
Calégari, P. ; Guidec, F. ; Kuonen, P. ; Wagner, D.
Author_Institution :
Dept. de Comput. Sci., Ecole Polytech. Fed. de Lausanne, Switzerland
Abstract :
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
Keywords :
cellular radio; combinatorial mathematics; genetic algorithms; radio networks; telecommunication computing; UMTS radio networks; combinatorial optimization problem; genetic algorithm; mobile radio; planning; radio coverage problem; radio network optimization; 3G mobile communication; Computer science; Genetics; Graph theory; Mobile communication; Mobile computing; Prototypes; Radio network; Software tools; Storms;
Conference_Titel :
Vehicular Technology Conference, 1997, IEEE 47th
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-3659-3
DOI :
10.1109/VETEC.1997.600430
