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dc.contributor.authorRichart Gutiérrez, Matías Mario
dc.contributor.authorBaliosian, Javier
dc.contributor.authorSerrat Fernández, Juan
dc.contributor.authorGorricho Moreno, Juan Luis
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Telemàtica
dc.date.accessioned2020-07-14T15:35:46Z
dc.date.available2020-07-14T15:35:46Z
dc.date.issued2020
dc.identifier.citationRichart, M. [et al.]. Resource allocation and management techniques for network slicing in WiFi networks. A: IEEE/IFIP Network Operations and Management Symposium. "Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020: Management in the Age of Softwarization and Artificial Intelligence: 20-24 April 2020". 2020, p. 1-6.
dc.identifier.isbn978-1-7281-4974-5
dc.identifier.urihttp://hdl.handle.net/2117/192941
dc.description© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.description.abstractNetwork slicing has recently been proposed as one of the main enablers for 5G networks; it is bound to cope with the increasing and heterogeneous performance requirements of these systems. To "slice" a network is to partition a shared physical network into several self-contained logical pieces (slices) that can be tailored to offer different functional or performance requirements. Moreover, a defining characteristic of the slicing paradigm is to provide resource isolation as well as efficient use of resources. In this context, the thesis described in this paper contributes to the problem of slicing WiFi networks by proposing a solution to the problem of enforcing and controlling slices in WiFi Access Points. The focus of the research is on a variant of network slicing called QoS Slicing, in which slices have specific performance requirements. In this document, we describe the two main contributions of our research, a resource allocation mechanism to assign resources to slices, and a solution to enforce and control slices with performance requirements in WiFi Access Points.
dc.description.sponsorshipThis work has been supported by the European Commission and the Spanish Government (Fondo Europeo de Desarrollo Regional, FEDER) by means of the EU H2020 NECOS (777067) and ADVICE (TEC2015-71329) projects.
dc.format.extent6 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
dc.subject.lcshWireless LANs
dc.subject.lcshResource allocation
dc.subject.otherComputer network management
dc.subject.otherQuality of service
dc.subject.otherResource allocation
dc.subject.otherTelecommunication control
dc.subject.otherWireless LAN
dc.titleResource allocation and management techniques for network slicing in WiFi networks
dc.typeConference report
dc.subject.lemacXarxes locals sense fil Wi-Fi
dc.subject.lemacAssignació de recursos
dc.contributor.groupUniversitat Politècnica de Catalunya. MAPS - Management, Pricing and Services in Next Generation Networks
dc.identifier.doi10.1109/NOMS47738.2020.9110407
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9110407
dc.rights.accessOpen Access
local.identifier.drac28685842
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/777067/EU/Novel Enablers for Cloud Slicing/NECOS
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO//TEC2015-71329-C2-2-R/ES/APROVISIONAMIENTO DINAMICO DE CONECTIVIDAD EN ESCENARIOS INALAMBRICOS 5G DE ALTA DENSIDAD/
local.citation.authorRichart, M.; Baliosian, J.; Serrat, J.; Gorricho, J.L.
local.citation.contributorIEEE/IFIP Network Operations and Management Symposium
local.citation.publicationNameProceedings of IEEE/IFIP Network Operations and Management Symposium 2020: Management in the Age of Softwarization and Artificial Intelligence: 20-24 April 2020
local.citation.startingPage1
local.citation.endingPage6


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