Publication:
Multi-tenant radio access network slicing: statistical multiplexing of spatial loads

dc.affiliation.dptoUC3M. Departamento de Ingeniería Telemáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Network Technologieses
dc.contributor.authorCaballero Garcés, Pablo
dc.contributor.authorBanchs Roca, Albert
dc.contributor.authorDe Veciana, Gustavo
dc.contributor.authorCosta-Pérez, Xavier
dc.contributor.funderEuropean Commissionen
dc.date.accessioned2019-04-01T11:44:35Z
dc.date.available2019-04-01T11:44:35Z
dc.date.issued2017-10
dc.description.abstractThis paper addresses the slicing of radio access network resources by multiple tenants, e.g., virtual wireless operators and service providers. We consider a criterion for dynamic resource allocation amongst tenants, based on a weighted proportionally fair objective, which achieves desirable fairness/protection across the network slices of the different tenants and their associated users. Several key properties are established, including: the Pareto-optimality of user association to base stations, the fair allocation of base stations' resources, and the gains resulting from dynamic resource sharing across slices, both in terms of utility gains and capacity savings. We then address algorithmic and practical challenges in realizing the proposed criterion. We show that the objective is NP-hard, making an exact solution impractical, and design a distributed semi-online algorithm, which meets performance guarantees in equilibrium and can be shown to quickly converge to a region around the equilibrium point. Building on this algorithm, we devise a practical approach with limited computational information and handoff overheads. We use detailed simulations to show that our approach is indeed near-optimal and provides substantial gains both to tenants (in terms of capacity savings) and end users (in terms of improved performance).en
dc.description.sponsorshipThe work of P. Caballero and G. de Veciana was supported by NSF Award CNS-1343383, the work of A. Banchs and X. Costa-Pérez by the H2020-ICT-2014-2 5G NORMA (Grant Agreement No. 671584), and the work of A. Banchs was also partially supported by the Spanish project DRONEXT (Grant Agreement TEC2014-58964-C2-1-R).en
dc.format.extent15en
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationIEEE/ACM transactions on networking, 25(5), pp. 3044-3058en
dc.identifier.doihttps://doi.org/10.1109/TNET.2017.2720668
dc.identifier.issn1063-6692
dc.identifier.publicationfirstpage3044es
dc.identifier.publicationissue5es
dc.identifier.publicationlastpage3058es
dc.identifier.publicationtitleIEEE-ACM TRANSACTIONS ON NETWORKINGen
dc.identifier.publicationvolume25es
dc.identifier.urihttps://hdl.handle.net/10016/28266
dc.identifier.uxxiAR/0000020622
dc.language.isoengen
dc.publisherIEEEen
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/671584/5G NORMAen
dc.relation.projectIDGobierno de España. TEC2014-58964-C2-1-R/DRONEXTes
dc.rights© 2017 IEEEen
dc.rights.accessRightsopen accessen
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherWireless networksen
dc.subject.otherMulti-tenant networksen
dc.subject.otherRAN-sharingen
dc.subject.otherNetwork slicingen
dc.subject.otherResource allocationen
dc.titleMulti-tenant radio access network slicing: statistical multiplexing of spatial loadsen
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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