Using case-based reasoning in traffic pattern recognition for best resource management in 3G networks

Authors:
Soamsiri Chantaraskul;Laurie Cuthbert
Affiliations:
University of London, London, UK;University of London, London, UK
Venue:
MSWiM '04 Proceedings of the 7th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems
Year:
2004

Citing 3
Cited 1

Case-based reasoning

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Case-based reasoning: foundational issues, methodological variations, and system approaches

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Autonomous Distributed Congestion Control Scheme in WCDMA Network

IEICE - Transactions on Information and Systems

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Abstract

With the underlying W-CDMA technique in 3G networks, resource management is a very significant issue as it can directly influence the system capacity and also lead to system QoS. However, the resource can be dynamically managed in order to maintain the QoS according to the SLA. In this paper, CBR is used as part of an intelligent-based agent management system. It uses information from previously managed situations to maintain the QoS in order to meet the SLA. The results illustrate the performance of an agent in traffic pattern recognition in order to identify the specific type of problem and finally propose the right solution.