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dc.contributor.authorVilà Muñoz, Irene
dc.contributor.authorPérez Romero, Jordi
dc.contributor.authorSallent Roig, José Oriol
dc.contributor.authorUmbert Juliana, Anna
dc.contributor.authorFerrús Ferré, Ramón Antonio
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Teoria del Senyal i Comunicacions
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2020-05-04T06:47:55Z
dc.date.issued2019
dc.identifier.citationVila, I. [et al.]. Performance measurements-based estimation of radio resource requirements for slice admission control. A: IEEE Vehicular Technology Conference. "2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall". 2019, p. 1-6.
dc.identifier.isbn978-1-7281-1220-6
dc.identifier.urihttp://hdl.handle.net/2117/186059
dc.description.abstractThe network slicing capability introduced in 5G systems facilitates the realisation of flexible multi-tenant networks. Network slicing enables the partition of a common shared network in several logical networks, each configured to fulfil specific service requirements. In scenarios where the lifecycle of network slices has to be managed dynamically (e.g. allocation, modification and deallocation of network slices in response to changing tenants’ needs), slice admission control becomes a central function to assure that the set of slices concurrently activated count with the sufficient resources to fulfil their service requirements. Slice admission control is particularly challenging for the Radio Access Network (RAN) part of a slice, because the amount of required radio resources is highly dependent on the characteristics of the deployment environment and type of cells. In this context, this paper presents a functional data-analytics framework along with a new analytical methodology for estimating the radio resource requirements for RAN slice admission control. Specifically, in order to characterise the propagation and interference conditions in each cell, the proposed resource estimation method leverages statistical information extracted via data analytics from the cell performance measurements collected at the management plane. Results show the benefits of the proposed estimation method under different types of cell deployments.
dc.description.sponsorshipThis work has been supported by the EU funded H2020 5G-PPP project 5G ESSENCE under the grant agreement 761592, by the Spanish Research Council and FEDER funds under SONAR 5G grant (ref. TEC2017-82651-R) and by the Secretariat for Universities and Research of the Ministry of Business and Knowledge of the Government of Catalonia under grant 2018FI_B_00412.
dc.format.extent6 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject.lcshMobile communication systems
dc.subject.lcshWireless communication systems
dc.subject.otherRAN slicing
dc.subject.otherSlicing admission control
dc.subject.otherdata analytics.
dc.titlePerformance measurements-based estimation of radio resource requirements for slice admission control
dc.typeConference report
dc.subject.lemacComunicacions mòbils, Sistemes de
dc.subject.lemacTelecomunicació
dc.subject.lemacComunicació sense fil, Sistemes de
dc.contributor.groupUniversitat Politècnica de Catalunya. GRCM - Grup de Recerca en Comunicacions Mòbils
dc.identifier.doi10.1109/VTCFall.2019.8891429
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/8891429
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac26130675
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/761592/EU/Embedded Network Services for 5G Experiences/5G ESSENCE
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/FEDER/TEC2017/82651-R
dc.relation.projectidinfo:eu-repo/grantAgreement/GENCAT/2018FI_B_00412
dc.date.lift10000-01-01
local.citation.authorVila, I.; Perez-Romero, J.; Sallent, J.; Umbert, A.; Ferrús, R.
local.citation.contributorIEEE Vehicular Technology Conference
local.citation.publicationName2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall
local.citation.startingPage1
local.citation.endingPage6


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