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

X. Wu, B. S. Sharif, O. R. Hinten

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

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.

Original languageBritish English
Title of host publication2004 Joint Conference of the 10th Asia-Pacific Conference on Communications and the 5th International Symposium on Multi-Dimensional Mobile Communications Proceedings, APCC/MDMC'04
EditorsK. Gong, Z. Niu, P. Fan, J. Yang
Pages76-79
Number of pages4
StatePublished - 2004
Event2004 Joint Conference of the 10th Asia-Pacific Conference on Communications and the 5th International Symposium on Multi-Dimensional Mobile Communications Proceedings, APCC/MDMC'04 - Beijing, China
Duration: 29 Aug 20041 Sep 2004

Publication series

Name2004 Joint Conference of the 10th Asia-Pacific Conference on Communications and the 5th International Symposium on Multi-Dimensional Mobile Communications Proceedings, APCC/MDMC'04
Volume1

Conference

Conference2004 Joint Conference of the 10th Asia-Pacific Conference on Communications and the 5th International Symposium on Multi-Dimensional Mobile Communications Proceedings, APCC/MDMC'04
Country/TerritoryChina
CityBeijing
Period29/08/041/09/04

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