Runtime monitoring of 5G network slicing using STAn

dc.contributor.authorPanizo-Jaime, Laura
dc.contributor.authorGallardo-Melgarejo, María del Mar
dc.contributor.authorLuque Schempp, Francisco
dc.contributor.authorMerino-Gómez, Pedro
dc.date.accessioned2025-03-20T10:03:45Z
dc.date.available2025-03-20T10:03:45Z
dc.date.created2025
dc.date.issued2025-03-12
dc.departamentoInstituto de Tecnología e Ingeniería del Software de la Universidad de Málagaes_ES
dc.description.abstract"This work has been supported by the Spanish Ministry of Science and Innovation grant agreement PID2022-142181OB-I00 (LearnFDT) and the Spanish Ministry of Economic Affairs and Digital Transformation project TSI-063000-2021-11 (5G+TACTILE-1) and the European Union Horizon 2020 Smart Networks and Services Joint Undertaking (SNS JU) under grant agreement 101096328 (6G-SANDBOX)." The most recent technology in the evolution of mobile networks is 5G, which is aimed at offering differentiated quality of service (QoS) to specific groups of users or devices. Such groups could include public safety agencies, connected vehicles, citizens streaming video content, fixed Internet of Things devices, etc. Insofar as each group has different requirements in terms of bandwidth, latency, error rate, coverage or other relevant quality indicators, the network can be divided into multiple slices, with each slice supporting a group’s requirements. Such network slicing is becoming a key feature for telecom operators, who need to face the challenge of validating its correct behavior. In this paper, we propose a monitoring system to check that a 5G network is offering slicing in the proper way. To this end, we use the tool STAn, a general purpose runtime verification tool where the requirements to be monitored are expressed using temporal formulae. The paper identifies first a list of requirements that define the expected behavior of network slicing. Then, we describe how the initial logic eLTL supported by STAn is extended to the so-called eXtended Event-driven Temporal Logic (xeLTL) in order to represent the slicing requirements. Finally, we validate that the new version of STAn and the catalogue of xeLTL formulae are suitable to monitor and check if real 5G networks properly support slicing. This way, we provide a complete new system for runtime monitoring of 5G network slicing.es_ES
dc.description.sponsorshipThis work has been supported by the Spanish Ministry of Science and Innovation grant agreement PID2022-142181OB-I00 (LearnFDT) and the Spanish Ministry of Economic Affairs and Digital Transformation project TSI-063000-2021-11 (5G+TACTILE-1) and the European Union Horizon 2020 Smart Networks and Services Joint Undertaking (SNS JU) under grant agreement 101096328 (6G-SANDBOX).
dc.identifier.citationLaura Panizo, María-del-Mar Gallardo, Francisco Luque-Schempp, Pedro Merino, Runtime monitoring of 5G network slicing using STAn, Journal of Logical and Algebraic Methods in Programming, Volume 145, 2025, 101059, ISSN 2352-2208, https://doi.org/10.1016/j.jlamp.2025.101059.es_ES
dc.identifier.doi10.1016/j.jlamp.2025.101059
dc.identifier.urihttps://hdl.handle.net/10630/38174
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectRedes de ordenadores - Arquitecturases_ES
dc.subjectSistemas de comunicaciones inalámbricoses_ES
dc.subjectSistemas expertos - Verificaciónes_ES
dc.subject.otherNetwork slicinges_ES
dc.subject.other5G networkes_ES
dc.subject.otherRuntime verificationes_ES
dc.subject.otherRuntime monitoringes_ES
dc.subject.otherEvent-driven temporal logices_ES
dc.titleRuntime monitoring of 5G network slicing using STAnes_ES
dc.typejournal articlees_ES
dc.type.hasVersionVoRes_ES
dspace.entity.typePublication
relation.isAuthorOfPublication74189115-2ba2-478b-a6df-ad34523f8a3d
relation.isAuthorOfPublicationc6827ef4-3c19-4045-ad52-44258fc4f052
relation.isAuthorOfPublication53b235ae-03ae-497d-ae75-01bd07d919db
relation.isAuthorOfPublication.latestForDiscovery74189115-2ba2-478b-a6df-ad34523f8a3d

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Panizo_etal_JLAMP.pdf
Size:
1.54 MB
Format:
Adobe Portable Document Format
Description:

Collections