Quantifying NB-IoT Performance in 5G Use-Cases With Mixture of Regular and Stochastic Traffic

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dc.contributor.authorMašek, Pavelcs
dc.contributor.authorMoltchanov, Dmitrics
dc.contributor.authorŠtůsek, Martincs
dc.contributor.authorMožný, Radekcs
dc.contributor.authorKoucheryavy, Yevgenics
dc.contributor.authorHošek, Jiřícs
dc.coverage.issue6cs
dc.coverage.volume12cs
dc.date.accessioned2025-06-12T07:57:50Z
dc.date.available2025-06-12T07:57:50Z
dc.date.issued2024-11-12cs
dc.description.abstractThe increasing demand for power distribution systems in terms of control with nearly immediate response requires deploying a new type of user equipment (UE) that demands permanent connectivity. In NB-IoT systems, the traffic generated by such UEs may constitute a large part of the overall load. In this paper, we first propose a detailed two-dimensional Markov chain model to capture the system's behavior with the mixture of conventional stochastic and regular traffic types. To provide a computationally efficient solution, we then apply the state aggregation technique to reduce it to a one-dimensional model and develop approximations and associated numerical algorithms for assessing the mean delay when transmitting the considered traffic. Our results show that a single NB-IoT cell remains stable for up to 72x10^4 conventional UEs and 9x10^3 UEs demanding permanent connectivity. The presence of the latter UEs type has a linear effect on their delay, but affects conventional UEs more drastically. A delay bound of 10s specified in ITU-R M.2410 is met for the conventional UEs, even under a high number of permanently connected UEs 10^3. However, the delay on the side of the latter UEs is violated even for 100 permanently connected UEs requiring redesigning the NB-IoT channel access mechanism or expanding resources.en
dc.formattextcs
dc.format.extent7332-7347cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationIEEE Internet of Things Journal. 2024, vol. 12, issue 6, p. 7332-7347.en
dc.identifier.doi10.1109/JIOT.2024.3495698cs
dc.identifier.issn2327-4662cs
dc.identifier.orcid0000-0003-2976-6547cs
dc.identifier.orcid0000-0001-9030-1322cs
dc.identifier.orcid0000-0002-4159-041Xcs
dc.identifier.orcid0000-0002-8382-9185cs
dc.identifier.other191151cs
dc.identifier.researcheridT-6266-2017cs
dc.identifier.researcheridB-1780-2010cs
dc.identifier.scopus56529395900cs
dc.identifier.scopus37031030200cs
dc.identifier.urihttps://hdl.handle.net/11012/252160
dc.language.isoencs
dc.publisherIEEEcs
dc.relation.ispartofIEEE Internet of Things Journalcs
dc.relation.urihttps://ieeexplore.ieee.org/document/10750346cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2327-4662/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subject5G Mobile Networksen
dc.subjectmMTCen
dc.subjectNarrowband IoTen
dc.subjectDelay Performanceen
dc.subjectMixture of Traffic Typesen
dc.titleQuantifying NB-IoT Performance in 5G Use-Cases With Mixture of Regular and Stochastic Trafficen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.grantNumberinfo:eu-repo/grantAgreement/TA0/TN/TN02000067cs
sync.item.dbidVAV-191151en
sync.item.dbtypeVAVen
sync.item.insts2025.06.12 09:57:49en
sync.item.modts2025.06.12 09:33:19en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav telekomunikacícs
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