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Constrained network slicing games: achieving service guarantees and network efficiency

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dc.affiliation.dptoUC3M. Departamento de Ingeniería Telemáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Network Technologieses
dc.contributor.authorZheng, Jiaxiao
dc.contributor.authorDe Veciana, Gustavo
dc.contributor.authorBanchs Roca, Albert
dc.contributor.funderEuropean Commissionen
dc.contributor.funderMinisterio de Educación, Cultura y Deporte (España)es
dc.date.accessioned2020-10-13T12:10:56Z
dc.date.available2020-10-13T12:10:56Z
dc.date.issued2020-08-04
dc.descriptionProceeding of: 18th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt 2020)en
dc.description.abstractNetwork slicing is a key capability for next generation mobile networks. It enables one to cost effectively customize logical networks over a shared infrastructure. A critical component of network slicing is resource allocation, which needs to ensure that slices receive the resources needed to support their services while optimizing network efficiency. In this paper, we propose a novel approach to slice-based resource allocation named Guaranteed seRvice Efficient nETwork slicing (GREET). The underlying concept is to set up a constrained resource allocation game, where (i) slices unilaterally optimize their allocations to best meet their (dynamic) customer loads, while (ii) constraints are imposed to guarantee that, if they wish so, slices receive a pre-agreed share of the network resources. The resulting game is a variation of the well-known Fisher market, where slices are provided a budget to contend for network resources (as in a traditional Fisher market), but (unlike a Fisher market) prices are constrained for some resources to provide the desired guarantees. In this way, GREET combines the advantages of a share-based approach (high efficiency by flexible sharing) and reservation-based ones (which provide guarantees by assigning a fixed amount of resources). We characterize the Nash equilibrium, best response dynamics, and propose a practical slice strategy with provable convergence properties. Extensive simulations exhibit substantial improvements over network slicing state-of-the-art benchmarks.en
dc.description.sponsorshipThe work of J. Zheng and G. de Veciana were supported in part by NSF CNS-1731658 and an Army Futures Command Grant W911NF1920333. The work of A. Banchs was funded in part by the Spanish Ministry of Education, Culture, and Sports with a Salvador de Madariaga grant together with the H2020 5G-TOURS European project (Grant Agreement No. 856950).en
dc.format.extent8es
dc.identifier.bibliographicCitation2020 18th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt), June 15-19, 2020 (Virtual Conference). 8 Pp.en
dc.identifier.isbn978-3-903176-29-4
dc.identifier.publicationfirstpage1es
dc.identifier.publicationlastpage8es
dc.identifier.publicationtitle2020 18th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt), June 15-19, 2020 (Virtual Conference)en
dc.identifier.urihttps://hdl.handle.net/10016/31193
dc.identifier.uxxiCC/0000030333
dc.language.isoengen
dc.publisherIEEEen
dc.relation.eventdate2020-06-15es
dc.relation.eventplaceVirtual conferenceen
dc.relation.eventtitle18th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt 2020)en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/856950/5G-TOURSen
dc.relation.projectIDGobierno de España. Ayuda para la movilidad Salvador de Madariagaes
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9155326en
dc.rights© 2020 IFIP / IEEE.en
dc.rights.accessRightsopen accessen
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherResource managementen
dc.subject.otherBase stationsen
dc.subject.otherNetwork slicingen
dc.subject.otherGamesen
dc.subject.otherDynamic schedulingen
dc.subject.otherVehicle dynamicsen
dc.subject.otherNash equilibriumen
dc.titleConstrained network slicing games: achieving service guarantees and network efficiencyen
dc.typeconference paper*
dc.type.hasVersionAM*
dspace.entity.typePublication
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