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Genetic Algorithms and fuzzy logic for dynamic channel allocation in cellular radio networks

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An, J., Hines, Evor, 1957-, Leeson, Mark S., 1963-, Sun, L., Ren, W. and Iliescu, Daciana (2007) Genetic Algorithms and fuzzy logic for dynamic channel allocation in cellular radio networks. In: IEEE Radio and Wireless Symposium, Long Beach, CA, JAN 07-12, 2007. Published in: 2007 IEEE RADIO AND WIRELESS SYMPOSIUM pp. 297-300.

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Abstract

An integrated artificial intelligence optimised cellular radio channel allocation and call dropping algorithm is presented. The components of the system comprise a new Genetic Algorithm (GA) based channel allocation scheme, and a novel application of Fuzzy Logic to call dropping technique. The new method is compared to both random allocation and to a conventional allocation approach. The results show improvements of 30% in the signal-to-interference ratio and 10% in the uniformity of the traffic across the cells in the system. Furthermore, up to 80% fewer calls are dropped using the new methodology.

Item Type: Conference Item (UNSPECIFIED)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Series Name: IEEE Radio and Wireless Symposium
Journal or Publication Title: 2007 IEEE RADIO AND WIRELESS SYMPOSIUM
Publisher: IEEE
ISBN: 978-1-4244-0444-5
Date: 2007
Number of Pages: 4
Page Range: pp. 297-300
Identification Number: 10.1109/RWS.2007.351779
Publication Status: Published
Title of Event: IEEE Radio and Wireless Symposium
Location of Event: Long Beach, CA
Date(s) of Event: JAN 07-12, 2007
URI: http://wrap.warwick.ac.uk/id/eprint/31051

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