Genetic Algorithms and fuzzy logic for dynamic channel allocation in cellular radio networks
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.Full text not available from this repository.
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|
|Number of Pages:||4|
|Page Range:||pp. 297-300|
|Title of Event:||IEEE Radio and Wireless Symposium|
|Location of Event:||Long Beach, CA|
|Date(s) of Event:||JAN 07-12, 2007|
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