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Resource allocation for network slicing in mobile networks

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dc.affiliation.dptoUC3M. Departamento de Ingeniería Telemáticaes
dc.affiliation.grupoinvUC3M. Grupo de InvestigaciĂłn: Network Technologieses
dc.contributor.authorBanchs Roca, Albert
dc.contributor.authorDe Veciana, Gustavo
dc.contributor.authorSciancalepore, Vincenzo
dc.contributor.authorCosta-PĂ©rez, Xavier
dc.contributor.funderEuropean Commissionen
dc.contributor.funderAgencia Estatal de Investigación (España)
dc.date.accessioned2021-01-25T15:04:52Z
dc.date.available2021-01-25T15:04:52Z
dc.date.issued2020-11-26
dc.description.abstractThis paper provides a survey of resource allocation for network slicing. We focus on two classes of existing solutions: (i) reservation-based approaches, which allocate resources on a reservation basis, and (ii) share-based approaches, which allocate resources based on static overall shares associated to individual slices. We identify the requirements that a slice-based resource allocation mechanism should satisfy, and evaluate the performance of both approaches against these requirements. Our analysis reveals that reservation-based approaches provide a better level of isolation as well as stricter guarantees, by enabling tenants to explicitly reserve resources, but one must pay a price in terms of efficiency unless reservations can be updated very dynamically; in particular, efficiency falls below 50\% when reservations are performed over long timescales. We provide further comparisons in terms of customizability, complexity, privacy and cost predictability, and discuss which approach might be more suitable depending on the network slices' characteristics. We also describe the additional mechanisms required to implement the desired resource allocations while meeting the latency and reliability requirements of the different slice types, and outline some issues for future work.en
dc.description.sponsorshipThe work of Albert Banchs was supported in part by the H2020 5G-TOURS European project under Grant 856950, and in part by the Spanish State Research Agency (TRUE5G project) under Grant PID2019-108713RB-C52/AEI/10.13039/501100011033. The work of Gustavo de Veciana was supported by NSF Grant CNS-1910112.en
dc.format.extent7es
dc.identifier.bibliographicCitationIEEE Access, vol. 8, Pp. 214696-214706en
dc.identifier.doihttps://doi.org/10.1109/ACCESS.2020.3040949
dc.identifier.issn2169-3536
dc.identifier.publicationfirstpage214696es
dc.identifier.publicationlastpage214706es
dc.identifier.publicationtitleIEEE Accessen
dc.identifier.publicationvolume8es
dc.identifier.urihttps://hdl.handle.net/10016/31773
dc.identifier.uxxiAR/0000026351
dc.language.isoengen
dc.publisherIEEEen
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/856950/5G-TOURSen
dc.relation.projectIDGobierno de España. PID2019-108713RB-C52es
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.en
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherMobile networksen
dc.subject.otherNetwork slicingen
dc.subject.otherBeyond 5G resource allocationen
dc.titleResource allocation for network slicing in mobile networksen
dc.typeresearch article*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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