GPON PLOAMd Message Analysis Using Supervised Neural Networks

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dc.contributor.authorTomašov, Adriáncs
dc.contributor.authorHolík, Martincs
dc.contributor.authorOujezský, Václavcs
dc.contributor.authorHorváth, Tomášcs
dc.contributor.authorMünster, Petrcs
dc.coverage.issue22cs
dc.coverage.volume10cs
dc.date.issued2020-11-18cs
dc.description.abstractThis paper discusses the possibility of analyzing the orchestration protocol used in gigabit-capable passive optical networks (GPONs). Considering the fact that a GPON is defined by the International Telecommunication Union Telecommunication sector (ITU-T) as a set of recommendations, implementation across device vendors might exhibit few differences, which complicates analysis of such protocols. Therefore, machine learning techniques are used (e.g., neural networks) to evaluate differences in GPONs among various device vendors. As a result, this paper compares three neural network models based on different types of recurrent cells and discusses their suitability for such analysis.en
dc.formattextcs
dc.format.extent1-12cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationApplied Sciences - Basel. 2020, vol. 10, issue 22, p. 1-12.en
dc.identifier.doi10.3390/app10228139cs
dc.identifier.issn2076-3417cs
dc.identifier.orcid0000-0003-1759-3482cs
dc.identifier.orcid0000-0002-8031-1663cs
dc.identifier.orcid0000-0001-7629-6299cs
dc.identifier.orcid0000-0001-8659-8645cs
dc.identifier.orcid0000-0002-4651-8353cs
dc.identifier.other166029cs
dc.identifier.researcheridAID-4031-2022cs
dc.identifier.researcheridQ-9784-2017cs
dc.identifier.scopus57218878297cs
dc.identifier.scopus57160133400cs
dc.identifier.urihttp://hdl.handle.net/11012/196655
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofApplied Sciences - Baselcs
dc.relation.urihttps://www.mdpi.com/2076-3417/10/22/8139/htmcs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2076-3417/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectGPONen
dc.subjectGRUen
dc.subjectLSTMen
dc.subjectmachine learningen
dc.subjectneural networken
dc.subjectRNNen
dc.titleGPON PLOAMd Message Analysis Using Supervised Neural Networksen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-166029en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:42:12en
sync.item.modts2025.01.17 15:36:48en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav telekomunikacícs
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