NDLI: Fixed channel assignment in cellular radio networks using a modified genetic algorithm

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Fixed channel assignment in cellular radio networks using a modified genetic algorithm

Content Provider	Semantic Scholar
Author	Ngo, Chiu Yeung Li, Victor
Copyright Year	1998
Abstract	With the limited frequency spectrum and an increasing demand for cellular communication services, the problem of channel assignment becomes increasingly important. However, finding a conflict-free channel assignment with the minimum channel span is NP hard. Therefore, we formulate the problem by assuming a given channel span. Our objective is to obtain a conflict-free channel assignment among the cells, which satisfies both the electromagnetic compatibility (EMC) constraints and traffic demand requirements. We propose an approach based on a modified genetic algorithm (GA). The approach consists of a genetic-fix algorithm that generates and manipulates individuals with fixed size (i.e., in binary representation, the number of ones is fixed) and a minimum-separation encoding scheme that eliminates redundant zeros in the solution representation. Using these two strategies, the search space can be reduced substantially. Simulations on the first four benchmark problems showed that this algorithm could achieve at least 80%, if not 100%, convergence to solutions within reasonable time. In the fifth benchmark problem, our algorithm found better solutions with shorter channel span than any existing algorithms. Such significant results indicate that our approach is indeed a good method for solving the channel-assignment problem.
Starting Page	163
Ending Page	172
Page Count	10
File Format	PDF HTM / HTML
DOI	10.1109/25.661043
Volume Number	47
Alternate Webpage(s)	http://hub.hku.hk/bitstream/10722/42772/1/34358.pdf
Alternate Webpage(s)	https://core.ac.uk/download/pdf/37882084.pdf
Alternate Webpage(s)	https://doi.org/10.1109/25.661043
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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