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An intelligent two-agent self-configuration approach for radio resource management
Collados Zamora, Kevin; Gorricho Moreno, Juan Luis; Serrat Fernández, Juan; Hu, Zheng; Xu, Ke
Universitat Politècnica de Catalunya. Departament d'Enginyeria Telemàtica; Universitat Politècnica de Catalunya. MAPS - Management, Pricing and Services in Next Generation Networks
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.
Peer Reviewed
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
Àrees temàtiques de la UPC::Matemàtiques i estadística::Lògica matemàtica
Fuzzy logic
Network performance (Telecommunication)
Self-configuration
Reinforcement-learning
Fuzzy logic
Lògica difusa
Qualitat del servei (Telecomunicació)
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
Institute of Electrical and Electronics Engineers (IEEE)
         

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