DocumentCode
395514
Title
Genetic algorithms for optimal channel assignment in mobile communications
Author
Wang, Lipo ; Arunkumaar, S. ; Gu, Wen
Author_Institution
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
Volume
3
fYear
2002
fDate
18-22 Nov. 2002
Firstpage
1221
Abstract
Since the usable frequency spectrum is limited, optimal assignment of channels is becoming more and more important. It can greatly enhance the traffic capacity of a cellular system and decrease interference between calls, thereby improving service quality and customer satisfaction. In this paper, we use genetic algorithms (GA) to solve the problem of assigning calls in a cellular mobile network to frequency channels in such a way that interference between calls is minimized, while demands for channels are satisfied. This channel assignment problem is known to be a difficult optimization problem. Simulation results showed that the GA approach is able to further improve on the results obtained by other techniques.
Keywords
cellular radio; channel allocation; genetic algorithms; quality of service; cellular mobile network; cellular system; channel assignment; fitness function; frequency spectrum; genetic algorithms; mobile communications; optimization; service quality; Cellular networks; Customer satisfaction; Genetic algorithms; Interchannel interference; Interference constraints; Mobile communication; Radio frequency; Simulated annealing; Telecommunication traffic; Traffic control;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
Print_ISBN
981-04-7524-1
Type
conf
DOI
10.1109/ICONIP.2002.1202815
Filename
1202815
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