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Publikationstyp: Konferenz: Paper
Art der Begutachtung: Peer review (Publikation)
Titel: AI-powered Infrastructures for intelligence and automation in beyond-5G systems
Autor/-in: Militano, Leonardo
Zafeiropoulos, Anastasios
Fotopoulou, Eleni
Bruschi, Roberto
Lombardo, Chiara
Edmonds, Andy
Papavassiliou, Symeon
et. al: No
DOI: 10.1109/GCWkshps52748.2021.9682117
10.21256/zhaw-24730
Tagungsband: Proceedings of 2021 IEEE Globecom Workshops (GC Wkshps)
Seite(n): 1
Seiten bis: 6
Angaben zur Konferenz: 2021 IEEE Globecom Workshops (GC Wkshps), Madrid, Spain, 7-11 December 2021
Erscheinungsdatum: Jan-2022
Verlag / Hrsg. Institution: IEEE
ISBN: 978-1-6654-2390-8
Sprache: Englisch
Schlagwörter: 6G system; Federated learning; Artificial Intelligence; Reinforcement learning; Blockchain; Automated orchestration; Edge computing; Cloud-native
Fachgebiet (DDC): 006: Spezielle Computerverfahren
621.3: Elektro-, Kommunikations-, Steuerungs- und Regelungstechnik
Zusammenfassung: In 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.
URI: https://digitalcollection.zhaw.ch/handle/11475/24730
Volltext Version: Akzeptierte Version
Lizenz (gemäss Verlagsvertrag): Lizenz gemäss Verlagsvertrag
Departement: School of Engineering
Organisationseinheit: Institut für Informatik (InIT)
Enthalten in den Sammlungen:Publikationen School of Engineering

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Militano, L., Zafeiropoulos, A., Fotopoulou, E., Bruschi, R., Lombardo, C., Edmonds, A., & Papavassiliou, S. (2022). AI-powered Infrastructures for intelligence and automation in beyond-5G systems [Conference paper]. Proceedings of 2021 IEEE Globecom Workshops (GC Wkshps), 1–6. https://doi.org/10.1109/GCWkshps52748.2021.9682117
Militano, L. et al. (2022) ‘AI-powered Infrastructures for intelligence and automation in beyond-5G systems’, in Proceedings of 2021 IEEE Globecom Workshops (GC Wkshps). IEEE, pp. 1–6. Available at: https://doi.org/10.1109/GCWkshps52748.2021.9682117.
L. Militano et al., “AI-powered Infrastructures for intelligence and automation in beyond-5G systems,” in Proceedings of 2021 IEEE Globecom Workshops (GC Wkshps), Jan. 2022, pp. 1–6. doi: 10.1109/GCWkshps52748.2021.9682117.
MILITANO, Leonardo, Anastasios ZAFEIROPOULOS, Eleni FOTOPOULOU, Roberto BRUSCHI, Chiara LOMBARDO, Andy EDMONDS und Symeon PAPAVASSILIOU, 2022. AI-powered Infrastructures for intelligence and automation in beyond-5G systems. In: Proceedings of 2021 IEEE Globecom Workshops (GC Wkshps). Conference paper. IEEE. Januar 2022. S. 1–6. ISBN 978-1-6654-2390-8
Militano, Leonardo, Anastasios Zafeiropoulos, Eleni Fotopoulou, Roberto Bruschi, Chiara Lombardo, Andy Edmonds, and Symeon Papavassiliou. 2022. “AI-Powered Infrastructures for Intelligence and Automation in Beyond-5G Systems.” Conference paper. In Proceedings of 2021 IEEE Globecom Workshops (GC Wkshps), 1–6. IEEE. https://doi.org/10.1109/GCWkshps52748.2021.9682117.
Militano, Leonardo, et al. “AI-Powered Infrastructures for Intelligence and Automation in Beyond-5G Systems.” Proceedings of 2021 IEEE Globecom Workshops (GC Wkshps), IEEE, 2022, pp. 1–6, https://doi.org/10.1109/GCWkshps52748.2021.9682117.


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