DocumentCode :
3479609
Title :
Channel assignment optimisation using a hyper-heuristic
Author :
Kendall, Graham ; Mohamad, M.
Author_Institution :
Sch. of Comput. Sci. & IT, Nottingham Univ.
Volume :
2
fYear :
2004
fDate :
1-3 Dec. 2004
Firstpage :
791
Lastpage :
796
Abstract :
The channel assignment problem is a real world problem from the mobile communications industry. The primary objective is to find the minimum frequency bandwidth given different traffic demand distribution within the mobile network, besides fulfilling the channel demand requirement, we must also consider the minimum channel reuse distance in order to avoid the effect of call interference within the same cell or adjacent cells. Previous approaches have used graph-colouring algorithms, heuristic search, neural networks, simulated annealing and genetic algorithms (CA). In this paper, we propose a hyper-heuristic methodology and compare our approach against channel assignment problems from the literature
Keywords :
channel allocation; frequency allocation; mobile communication; optimisation; telecommunication traffic; adaptive heuristic search; call interference; channel assignment optimization; channel reuse distance; hyperheuristic methodology; minimum frequency bandwidth; mobile communication; mobile network; traffic demand distribution; Bandwidth; Communication industry; Frequency; Heuristic algorithms; Interference; Mobile communication; Neural networks; Simulated annealing; Telecommunication traffic; Traffic control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cybernetics and Intelligent Systems, 2004 IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
0-7803-8643-4
Type :
conf
DOI :
10.1109/ICCIS.2004.1460689
Filename :
1460689
Link To Document :
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