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Resource management in wireless networks using intelligent agents
Author(s) -
Al agha Khaldoun
Publication year - 2000
Publication title -
international journal of network management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.373
H-Index - 28
eISSN - 1099-1190
pISSN - 1055-7148
DOI - 10.1002/(sici)1099-1190(200001/02)10:1<29::aid-nem349>3.0.co;2-r
Subject(s) - computer science , resource allocation , base station , resource (disambiguation) , scheme (mathematics) , intelligent agent , distributed computing , resource management (computing) , wireless , channel (broadcasting) , artificial intelligence , operations research , computer network , telecommunications , mathematical analysis , mathematics , engineering
This article relates to the larger‐scale traffic variations and proposes an adaptive resource assignment approach based on the multi‐agent technique which relies on self‐learning. The adaptive resource allocation scheme Channel Segregation (CS) containing inherently a self‐learning attribute was selected to test and validate the concept of using intelligent agents in base stations. Copyright © 2000 John Wiley & Sons, Ltd.