Title :
Genetic approach with a new representation for base station placement in mobile communications
Author :
Han, Jin Kyu ; Park, Byoung Seong ; Choi, Yong Seok ; Park, Han Kyu
Author_Institution :
Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea
fDate :
6/23/1905 12:00:00 AM
Abstract :
In this paper, we find the best base station placement using a genetic approach. A new representation describing base station placement with a real number is proposed, and new genetic operators are introduced. This new representation can describe not only the locations of the base stations but also the number of those. Considering both coverage and economic efficiency, we also suggest a weighted objective function. Our algorithm is applied to an obvious optimization problem and then is verified. Moreover, our approach is tried in an inhomogeneous traffic density environment. The simulation result proves that the algorithm enables one to find near optimal base station placement and the efficient number of base stations
Keywords :
cellular radio; genetic algorithms; mathematical operators; telecommunication network planning; telecommunication traffic; base station placement representation; coverage; economic efficiency; genetic approach; genetic operators; high cell planning efficiency; inhomogeneous traffic density environment; mobile communications; optimal base station placement; optimization problem; simulation result; weighted objective function; Base stations; Bioinformatics; Biological cells; Genetic algorithms; Genetic engineering; Genetic mutations; Genomics; Mobile communication; Telecommunication traffic; Traffic control;
Conference_Titel :
Vehicular Technology Conference, 2001. VTC 2001 Fall. IEEE VTS 54th
Conference_Location :
Atlantic City, NJ
Print_ISBN :
0-7803-7005-8
DOI :
10.1109/VTC.2001.957251