Resource allocation for network slicing in mobile networks

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dc.contributor.author Banchs Roca, Albert
dc.contributor.author De Veciana, Gustavo
dc.contributor.author Sciancalepore, Vincenzo
dc.contributor.author Costa-Pérez, Xavier
dc.date.accessioned 2021-01-25T15:04:52Z
dc.date.available 2021-01-25T15:04:52Z
dc.date.issued 2020-11-26
dc.identifier.bibliographicCitation IEEE Access, vol. 8, Pp. 214696-214706
dc.identifier.issn 2169-3536
dc.identifier.uri http://hdl.handle.net/10016/31773
dc.description.abstract This 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.
dc.description.sponsorship The 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.
dc.format.extent 7
dc.language.iso eng
dc.publisher IEEE
dc.rights This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.other Mobile networks
dc.subject.other Network slicing
dc.subject.other Beyond 5G resource allocation
dc.title Resource allocation for network slicing in mobile networks
dc.type article
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi https://doi.org/10.1109/ACCESS.2020.3040949
dc.rights.accessRights openAccess
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/856950/5G-TOURS
dc.relation.projectID Gobierno de España. PID2019-108713RB-C52
dc.type.version publishedVersion
dc.identifier.publicationfirstpage 214696
dc.identifier.publicationlastpage 214706
dc.identifier.publicationtitle IEEE Access
dc.identifier.publicationvolume 8
dc.identifier.uxxi AR/0000026351
dc.contributor.funder European Commission
dc.contributor.funder Agencia Estatal de Investigación (España)
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