Paper Info
Title
Genetic approach with a new representation for base station placement in mobile communications.
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
Year
DOI
Venue
2001
10.1109/VTC.2001.957251
VTC Fall
Keywords
Field
DocType
bioinformatics,genetic engineering,base station,genetic operator,coverage,objective function,genetic algorithms,economic efficiency,genetics,genomics,base stations,mobile communication,optimization problem,mobile communications
Economic efficiency,Base station,Mathematical optimization,Mathematical Operators,Computer science,Operator (computer programming),Real number,Optimization problem,Genetic algorithm,Mobile telephony
Conference
Volume
ISSN
ISBN
4
1090-3038
0-7803-7005-8
Citations 
PageRank 
References 
35
2.73
0
Authors
4
Name
Order
Citations
PageRank
Jin-Kyu Han117315.54
Byoung Seong Park2352.73
Yong Seok Choi3353.07
Han-Kyu Park411415.42