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Adaptive channel allocation schemes for wireless PCN: A genetic algorithm approach

Lookup NU author(s): Xiang Wu, Professor Bayan Sharif, Emeritus Professor Oliver Hinton


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With the increased demand for wireless Personal Communication Networks (PCN), the limited radio resource becomes much more valuable. In this paper, several novel adaptive channel allocation schemes using genetic algorithm (GA) are proposed which are able to achieve efficient utilization of radio channels with a simultaneous increase of traffic capacity. GA approach has been developed in order to find the optimal channel allocation and reservation in terms of Grade of Service (GoS) for a given period of time. The proposed GA based schemes are shown to have much more adaptability to the traffic load than conventional fixed allocation scheme, and outperform other heuristic methods such as Tabu Search and Simulated Annealing. © 2004 IEEE.

Publication metadata

Author(s): Wu X, Sharif BS, Hinten OR

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Joint Conference of the 10th Asia-Pacific Conference on Communications and the 5th International Symposium on Multi-Dimensional Mobile Communications

Year of Conference: 2004

Pages: 76-79

Publisher: IEEE


DOI: 10.1109/APCC.2004.1391655

Library holdings: Search Newcastle University Library for this item

ISBN: 0780386019