Performance evaluation of distributed measurement-based dynamic channel assignment in local wireless communications

The diverse environments emerging for wireless communication applications could render the centralized prediction-based channel assignment methodology, conventionally employed in cellular radio networks, impractical. The distributed measurement-based approach seems to be a more practical solution. W...

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Bibliographic Details
Published inIEEE journal on selected areas in communications Vol. 14; no. 4; pp. 698 - 710
Main Authors Cheng, M.M.-L., Chuang, J.C.-I.
Format Journal Article
LanguageEnglish
Published IEEE 01.05.1996
Subjects
Accuracy
Base stations
Costs
Frequency measurement
Heuristic algorithms
Indoor environments
Interference
Land mobile radio cellular systems
Prediction algorithms
Wireless communication
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Summary:The diverse environments emerging for wireless communication applications could render the centralized prediction-based channel assignment methodology, conventionally employed in cellular radio networks, impractical. The distributed measurement-based approach seems to be a more practical solution. We evaluate and compare several distributed measurement-based algorithms for dynamic channel assignment (DCA). Their performance is also compared with a centralized prediction-based algorithm. It is found that a simple aggressive algorithm with the use of a threshold, known as the least interference algorithm (LIA), performs the best.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
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ISSN:0733-8716
1558-0008
DOI:10.1109/49.490421