An intelligent two-agent self-configuration approach for radio resource management

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dc.contributor	Universitat Politècnica de Catalunya. Departament d'Enginyeria Telemàtica
dc.contributor	Universitat Politècnica de Catalunya. MAPS - Management, Pricing and Services in Next Generation Networks
dc.contributor.author	Collados Zamora, Kevin
dc.contributor.author	Gorricho Moreno, Juan Luis
dc.contributor.author	Serrat Fernández, Juan
dc.contributor.author	Hu, Zheng
dc.contributor.author	Xu, Ke
dc.date	2015
dc.identifier.citation	Kevin, 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.
dc.identifier.citation	9781479982424
dc.identifier.citation	10.1109/INM.2015.7140359
dc.identifier.uri	http://hdl.handle.net/2117/77790
dc.language.iso	eng
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation	http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7140359
dc.relation	info:eu-repo/grantAgreement/ES/6PN/TEC2012-38574-C02-02
dc.relation	info:eu-repo/grantAgreement/EC/FP7/269323/EU/End-to-end Virtual Resource Management across Heterogeneous Networks and Services/EVANS
dc.relation	info:eu-repo/grantAgreement/EC/FP7/318488/EU/Management of the Future Internet/FLAMINGO
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject	Àrees temàtiques de la UPC::Matemàtiques i estadística::Lògica matemàtica
dc.subject	Fuzzy logic
dc.subject	Network performance (Telecommunication)
dc.subject	Self-configuration
dc.subject	Reinforcement-learning
dc.subject	Fuzzy logic
dc.subject	Lògica difusa
dc.subject	Qualitat del servei (Telecomunicació)
dc.title	An intelligent two-agent self-configuration approach for radio resource management
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	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.
dc.description.abstract	Peer Reviewed

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