Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-24730
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dc.contributor.authorMilitano, Leonardo-
dc.contributor.authorZafeiropoulos, Anastasios-
dc.contributor.authorFotopoulou, Eleni-
dc.contributor.authorBruschi, Roberto-
dc.contributor.authorLombardo, Chiara-
dc.contributor.authorEdmonds, Andy-
dc.contributor.authorPapavassiliou, Symeon-
dc.date.accessioned2022-03-31T09:11:28Z-
dc.date.available2022-03-31T09:11:28Z-
dc.date.issued2022-01-
dc.identifier.isbn978-1-6654-2390-8de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/24730-
dc.description.abstractIn this paper, a vision for beyond-5G systems is proposed where automation, intelligence and data privacy in cloudnative infrastructures are in focus. Exploiting the convergence of cloud technologies at the edge and mobile communication networks, a set of architectural and technological solutions is discussed that will play a fundamental role on the path from 5G towards future sixth-generation systems. Currently, a strong need is felt in the telecommunication world for greater automation to meet the extreme requirements expected for future 6G applications. In this regard, Artificial Intelligence (AI) is gaining high momentum as one of the central enabling technologies for beyond-5G networks. Reinforcement Learning (RL) and Federated Learning (FL) are here proposed as technologies to enhance network automation and enable privacy-aware applications. Blockchain is proposed as a solution for non-repudiation and trustworthiness in the AI pipelines. These technologies are brought together in a comprehensive cloud-native architectural vision to fill the gap between current 5G systems and AI-powered secure systems of the future.de_CH
dc.language.isoende_CH
dc.publisherIEEEde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subject6G systemde_CH
dc.subjectFederated learningde_CH
dc.subjectArtificial Intelligencede_CH
dc.subjectReinforcement learningde_CH
dc.subjectBlockchainde_CH
dc.subjectAutomated orchestrationde_CH
dc.subjectEdge computingde_CH
dc.subjectCloud-nativede_CH
dc.subject.ddc006: Spezielle Computerverfahrende_CH
dc.subject.ddc621.3: Elektro-, Kommunikations-, Steuerungs- und Regelungstechnikde_CH
dc.titleAI-powered Infrastructures for intelligence and automation in beyond-5G systemsde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Angewandte Informationstechnologie (InIT)de_CH
dc.identifier.doi10.1109/GCWkshps52748.2021.9682117de_CH
dc.identifier.doi10.21256/zhaw-24730-
zhaw.conference.details2021 IEEE Globecom Workshops (GC Wkshps), Madrid, Spain, 7-11 December 2021de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end6de_CH
zhaw.pages.start1de_CH
zhaw.publication.statusacceptedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedingsProceedings of 2021 IEEE Globecom Workshops (GC Wkshps)de_CH
zhaw.webfeedService Engineeringde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen School of Engineering

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