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dc.contributor.authorPeñaherrera-Pulla, Oswaldo Sebastián
dc.contributor.authorBaena, Carlos
dc.contributor.authorBarco-Moreno, Raquel 
dc.contributor.authorFortes-Rodríguez, Sergio 
dc.date.accessioned2023-07-24T07:42:08Z
dc.date.available2023-07-24T07:42:08Z
dc.date.issued2023
dc.identifier.urihttps://hdl.handle.net/10630/27350
dc.description.abstractThis work presents a novel framework designed for the management of XR (Extended Reality) services for B5G/6G network paradigms. These networks will enable its near-future deployment to change the concept of the XR experiences known at this moment. Our proposed framework powered by ML (Machine Learning) consists of the measurement and estimation of metrics based on network-accessible information, and a proof of concept of network optimization. The latter is based on the use of KQI (Key Quality Indicators) to tune the performance of XR services. This in conjunction with ML approaches, can offer additional levels of intelligence to networks. To validate this, a 360-video service has been selected as a use case to provide a proof of concept of the performance, utility, and novelty of this work.es_ES
dc.description.sponsorshipThis work has been partially funded by: Ministerio de Asuntos Económicos y Transformación Digital and European Union - NextGenerationEU within the framework “Recuperación, Transformación y Resiliencia y el Mecanismo de Recuperación y Resiliencia” under the project MAORI, and Universidad de Málaga through the “II Plan Propio de Investigación, Transferencia y Divulgación Científica”. This work has been also supported by Junta de Andalucía through Secretaría General de Universidades, Investigación y Tecnología with predoctoral grant (Ref. PREDOC_01712) as well as by Ministerio de Ciencia y Tecnología through grant FPU19/04468. Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.es_ES
dc.language.isoenges_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectRedes de ordenadoreses_ES
dc.subjectTelecomunicacioneses_ES
dc.subject.otherXRes_ES
dc.subject.otherMobile Networkses_ES
dc.subject.otherKQIes_ES
dc.subject.otherMachine Learninges_ES
dc.subject.other360 videoes_ES
dc.titleML-based network management framework for XR services.es_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.centroE.T.S.I. Telecomunicaciónes_ES
dc.relation.eventtitle2023 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)es_ES
dc.relation.eventplaceGothenburg, Swedenes_ES
dc.relation.eventdate6-9 Junio, 2023es_ES


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