Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-24730Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Militano, Leonardo | - |
| dc.contributor.author | Zafeiropoulos, Anastasios | - |
| dc.contributor.author | Fotopoulou, Eleni | - |
| dc.contributor.author | Bruschi, Roberto | - |
| dc.contributor.author | Lombardo, Chiara | - |
| dc.contributor.author | Edmonds, Andy | - |
| dc.contributor.author | Papavassiliou, Symeon | - |
| dc.date.accessioned | 2022-03-31T09:11:28Z | - |
| dc.date.available | 2022-03-31T09:11:28Z | - |
| dc.date.issued | 2022-01 | - |
| dc.identifier.isbn | 978-1-6654-2390-8 | de_CH |
| dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/24730 | - |
| dc.description.abstract | 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. | de_CH |
| dc.language.iso | en | de_CH |
| dc.publisher | IEEE | de_CH |
| dc.rights | Licence according to publishing contract | de_CH |
| dc.subject | 6G system | de_CH |
| dc.subject | Federated learning | de_CH |
| dc.subject | Artificial Intelligence | de_CH |
| dc.subject | Reinforcement learning | de_CH |
| dc.subject | Blockchain | de_CH |
| dc.subject | Automated orchestration | de_CH |
| dc.subject | Edge computing | de_CH |
| dc.subject | Cloud-native | de_CH |
| dc.subject.ddc | 006: Spezielle Computerverfahren | de_CH |
| dc.subject.ddc | 621.3: Elektro-, Kommunikations-, Steuerungs- und Regelungstechnik | de_CH |
| dc.title | AI-powered Infrastructures for intelligence and automation in beyond-5G systems | de_CH |
| dc.type | Konferenz: Paper | de_CH |
| dcterms.type | Text | de_CH |
| zhaw.departement | School of Engineering | de_CH |
| zhaw.organisationalunit | Institut für Informatik (InIT) | de_CH |
| dc.identifier.doi | 10.1109/GCWkshps52748.2021.9682117 | de_CH |
| dc.identifier.doi | 10.21256/zhaw-24730 | - |
| zhaw.conference.details | 2021 IEEE Globecom Workshops (GC Wkshps), Madrid, Spain, 7-11 December 2021 | de_CH |
| zhaw.funding.eu | No | de_CH |
| zhaw.originated.zhaw | Yes | de_CH |
| zhaw.pages.end | 6 | de_CH |
| zhaw.pages.start | 1 | de_CH |
| zhaw.publication.status | acceptedVersion | de_CH |
| zhaw.publication.review | Peer review (Publikation) | de_CH |
| zhaw.title.proceedings | Proceedings of 2021 IEEE Globecom Workshops (GC Wkshps) | de_CH |
| zhaw.webfeed | Service Engineering | de_CH |
| zhaw.author.additional | No | de_CH |
| zhaw.display.portrait | Yes | de_CH |
| Appears in collections: | Publikationen School of Engineering | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2021_Militanto-etal_AI-powered-Infrastructures-Beyond-5G-Systems.pdf | 632.59 kB | Adobe PDF |  View/Open |
Show simple item record
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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