LACO: A Latency-Driven Network Slicing Orchestration in Beyond-5G Networks (In Press)

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dc.contributor.author Zanzi, Lanfranco
dc.contributor.author Sciancalepore, Vincenzo
dc.contributor.author García Saavedra, Andrés
dc.contributor.author Schotten, Hans D.
dc.contributor.author Costa Pérez, Xavier
dc.date.accessioned 2020-11-16T10:53:14Z
dc.date.available 2020-11-16T10:53:14Z
dc.date.issued 2020-10-07
dc.identifier.bibliographicCitation Zanzi, L., Sciancalepore, V., García-Saavedra, A., Schotten, H. D., Costa-Pérez, X. (2020). LACO: A Latency-Driven Network Slicing Orchestration in Beyond-5G Networks. IEEE Transactions on Wireless Communications.
dc.identifier.issn 1536-1276
dc.identifier.uri http://hdl.handle.net/10016/31399
dc.description In Press / En Prensa
dc.description.abstract Network Slicing is expected to become a game changer in the upcoming 5G networks and beyond, enlarging the telecom business ecosystem through still-unexplored vertical industry profits. This implies that heterogeneous service level agreements (SLAs) must be guaranteed per slice given the multitude of predefined requirements. In this paper, we pioneer a novel radio slicing orchestration solution that simultaneously provides latency and throughput guarantees in a multi-tenancy environment. Leveraging on a solid mathematical framework, we exploit the exploration-vs-exploitation paradigm by means of a multi-armed-bandit-based (MAB) orchestrator, LACO, that makes adaptive resource slicing decisions with no prior knowledge on the traffic demand or channel quality statistics. As opposed to traditional MAB methods that are blind to the underlying system, LACO relies on system structure information to expedite decisions. After a preliminary simulations campaign empirically proving the validness of our solution, we provide a robust implementation of LACO using off-the-shelf equipment to fully emulate realistic network conditions: near-optimal results within affordable computational time are measured when LACO is in place.
dc.description.sponsorship The research leading to these results has been supported in part by the H2020 MonB5G Project (grant agreement no. 871780) and in part by the H2020 5Growth Project (grant agreement no. 856709).
dc.format.extent 15
dc.language.iso eng
dc.publisher IEEE
dc.rights This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
dc.rights Atribución 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by/3.0/es/
dc.subject.other 5G and beyond
dc.subject.other Virtualization
dc.subject.other MAB
dc.subject.other Latency control
dc.subject.other Network slicing
dc.subject.other Resource management
dc.title LACO: A Latency-Driven Network Slicing Orchestration in Beyond-5G Networks (In Press)
dc.type article
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi https://doi.org/10.1109/TWC.2020.3027963
dc.rights.accessRights openAccess
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/856709
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/871780
dc.type.version acceptedVersion
dc.identifier.publicationtitle IEEE Transactions on Wireless Communications
dc.contributor.funder European Commission
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