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An RL approach to radio resource management in heterogeneous virtual RANs

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dc.contributor.authorTripathi, Sharda
dc.contributor.authorPuligheddu, Corrado
dc.contributor.authorChiasserini, Carla Fabiana
dc.contributor.funderEuropean Commissiones
dc.date.accessioned2022-02-10T11:32:12Z
dc.date.available2022-02-10T11:32:12Z
dc.date.issued2021-03-09
dc.descriptionProceedings of: 2021 16th Annual Conference on Wireless On-demand Network Systems and Services Conference (WONS), 9-11 March 2021, Klosters, Switzerland.en
dc.description.abstract5G networks are primarily designed to support a wide range of services characterized by diverse key performance indicators (KPIs). A fundamental component of 5G networks, and a pivotal factor to the fulfillment of the services KPIs, is the virtual radio access network (RAN), which allows high flexibility on the control of the radio link. However, to fully exploit the potentiality of virtual RANs in non-stationary environments, an efficient mapping of the rapidly varying context to radio control decisions is not only essential, but also challenging owing to the non-trivial interdependence of network and channel conditions. In this paper, we propose CAREM, an RL framework for dynamic radio resource allocation, which selects the best link and modulation and coding scheme (MCS) for packet transmission, so as to meet the KPI requirements in heterogeneous virtual RANs. To show its effectiveness in real-world conditions, we provide a proof-of-concept through actual testbed implementation. Experimental results demonstrate that CAREM enables an efficient radio resource allocation, for any of the considered time periodicity of the decision-making process.es
dc.description.sponsorshipThis work has been supported by the EC H2020 5GPPP 5GROWTH project (Grant No. 856709.)en
dc.format.extent8
dc.identifier.bibliographicCitationTripathi, S., Puligheddu, C. & Chiasserini, C. F. (9-11 March 2021). An RL Approach to Radio Resource Management in Heterogeneous Virtual RANs [proceedings]. 2021 16th Annual Conference on Wireless On-demand Network Systems and Services Conference (WONS), Klosters, Switzerland.en
dc.identifier.doihttps://doi.org/10.23919/WONS51326.2021.9415591
dc.identifier.isbn978-3-903176-35-5
dc.identifier.publicationfirstpage1
dc.identifier.publicationlastpage8
dc.identifier.publicationtitle2021 16th Annual Conference on Wireless On-demand Network Systems and Services Conference (WONS)en
dc.identifier.urihttps://hdl.handle.net/10016/34093
dc.language.isoengen
dc.publisherIEEEen
dc.relation.eventdate2021-03-09
dc.relation.eventplaceKlostersen
dc.relation.eventtitleWONS 2021 16th Annual Conference on Wireless On-demand Network Systems and Services Conferenceen
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/856709
dc.rights© 2021, IEEE.en
dc.rights.accessRightsopen accessen
dc.subject.ecienciaTelecomunicacioneses
dc.subject.other5G technologyen
dc.subject.otherReinforcement learningen
dc.subject.otherVirtual RANen
dc.subject.otherRadio resource allocationen
dc.subject.otherHeterogeneous networksen
dc.titleAn RL approach to radio resource management in heterogeneous virtual RANsen
dc.typeconference proceedings*
dc.type.hasVersionAM*
dspace.entity.typePublication
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