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
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;
Conference_Titel :
Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
Print_ISBN :
981-04-7524-1
DOI :
10.1109/ICONIP.2002.1202815