Title :
Radio coverage optimization with genetic algorithms
Author :
Lieska, Kai ; Laitinen, Erkki ; Lähteenmäki, Jaakko
Author_Institution :
Dept. of Math. Sci., Oulu Univ., Finland
Abstract :
Cellular network operators are dealing with complex problems when planning the network operation. In order to automate the planning process, the development of simulation and optimization tools are under research. In this paper genetic algorithms with three different approaches are studied in order to optimize the base station sites. This research shows that a proper approach in developing the individual structure and fitness function has crucial importance in solving practical base station siting problems with genetic algorithms
Keywords :
cellular radio; genetic algorithms; telecommunication network planning; base station siting problems; cellular radio network operators; fitness function; genetic algorithms; optimization tool; planning process; radio coverage optimization; simulation tool; Base stations; Cellular networks; Computational modeling; GSM; Genetic algorithms; Land mobile radio cellular systems; Optimization methods; Process planning; Search methods; Telecommunication computing;
Conference_Titel :
Personal, Indoor and Mobile Radio Communications, 1998. The Ninth IEEE International Symposium on
Conference_Location :
Boston, MA
Print_ISBN :
0-7803-4872-9
DOI :
10.1109/PIMRC.1998.733567
