Harnessing AI and Confluent Technologies for Next-Generation 6G Networks
This talk presents a new 6G network concept using artificial intelligence-based orchestration and combining radio fixed wireless, free-space optical, and wavelength-division multiplexed transport to enable energy-efficient, low-latency, highly available confluent mesh edge networking.
Authors
- Carlos Natalino (ORCID: https://orcid.org/0000-0001-7501-5547)
- Paolo Monti (ORCID: https://orcid.org/0000-0002-5636-9910)
- Daniel C. Kilper (ORCID: https://orcid.org/0000-0003-3542-5335)
- Ioanna Mesogiti (ORCID: https://orcid.org/0000-0002-0214-3764)
- Colm Browning (ORCID: https://orcid.org/0000-0002-4532-9251)
- Marco Ruffini
- Aleksandra Kaszubowska Anandarajah
Institutions
- Trinity College Dublin (IE)
- Hellenic Telecommunications Organization (Greece) (GR)
- Chalmers University of Technology (SE)
Publication Details
- Published
- 2025-06-29
- DOI
- https://doi.org/10.23919/oecc/psc62146.2025.11111139
- Primary Topic
- Advanced Wireless Communication Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00