An intelligent two-agent self-configuration approach for radio resource management
Document typeConference report
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessRestricted access - publisher's policy
European Commisision's projectEVANS - End-to-end Virtual Resource Management across Heterogeneous Networks and Services (EC-FP7-269323)
FLAMINGO - Management of the Future Internet (EC-FP7-318488)
In this paper we propose the use of a two-agent learning scheme for the management of radio resources on cellular access networks. The management is materialized by the implementation of a self-configuration system governing the setup of several parameters on each base station. The two agents have independent goals; one is trying to maximize the quality of service and the other the economic benefit. Thanks to the combined use of the fuzzy logic technique and reinforcement learning, both agents will work in a complementary mode, achieving both goals simultaneously.
CitationKevin, C., Gorricho, J., Serrat, J., Hu, Z., Xu, K. An intelligent two-agent self-configuration approach for radio resource management. A: IFIP/IEEE International Symposium on Integrated Network Management. "2015 IFIP/IEEE International Symposium on Integrated Network Management (IM 2015): Ottawa, Ontario, Canada: 11-15 May 2015". Ottawa: Institute of Electrical and Electronics Engineers (IEEE), 2015, p. 706-712.
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