6G-CATS - AI-Powered 6G Networks: Secure, Energy-Efficient and High-Speed End-to-End Communication supporting Sensing and Mobility

Ico_CTTC
Start: 01/09/2026
End: 30/08/2029
Funding: European
Status: On going
Research unit:
Packet Optical Networks and Services (PONS)
Acronym: 6G-CATS
Call ID: HORIZON-JU-SNS-2025-01
Code: 101287162

6G-CATS will demonstrate an AI-powered, disaggregated and secure 6G optical infrastructure capable of supporting a wide range of end-user applications in a sustainable manner. It makes a concerted effort towards pairing high-speed optical access and metro technologies with real-time intelligence, end-to-end resiliency and native security.

6G-CATS will build on DSP-free quasi-coherent technology for unshared 50 Gb/s PON and filterless metro DWDM transmission, supported by 200 Gb/s LPO at the fronthaul. Optical multi-band switching will enable flexible networking and composability. An extension to the NTN domain will be made through drone-based free-space optics for fiber-grade dual-connectivity.

Beyond-communication functions include multi-modal sensing capabilities and a multi-layered security framework. Network-wide ISAC, distributed fiber sensing and connected LiDARs will jointly enable (i) predictive maintenance for network elements and furniture, (ii) detection of physical risks, (iii) connected mobility, and (iv) unauthorized access. Trust enforcement is further propelled through a quantum-resilient infrastructure, which seamlessly integrates quantum functions in multi-purpose transceivers while provisioning synthesized quantum networks and end-to-end quantum-optic channels to handheld devices. A security continuum will be spanned through hybrid QKD/PQC schemes. Fine-grained personalization of the security level will be facilitated through AI-based intent translation.

All network functions will be orchestrated through an energy-aware AI framework that ensures dynamic optimization of both, cloud and network resources. Sustainable operation across diverse environments and use-cases will be based on energy-conscious resource selection. Enhanced AI/ML support will be integrated for three high-impact use-cases: connected mobility, 6G resiliency and service continuity, and secure automation. 6G-CATS will validate these in a Stream-C experimentation platform.

Laia Nadal
PI/Project Leader
Ricardo Martínez
Researcher
Ramon Casellas
Researcher
Luca Vettori
Researcher
Michela Svaluto Moreolo
Researcher
Josep M. Fàbrega
Researcher
Francisco Javier Vilchez
Researcher
ORGANISMOS TILEPIKOINONION TIS ELLADOS OTE AE (OTE),
Coordinator
UPC-UNIVERSITAT POLITÈCNICA DE CATALUNYA
NEXTWORKS SRL
Ethniko kai Kapodistriako Panepistimio Athinon
Ericsson Telecomunicazioni
Internet Institute, Communications Solutions and Consulting LTD
Nvidia
Beamagine S.L (BMG)
Bifrost Communications
National Center for Scientific Research "Demokritos" (NCSRD)
AIT AUSTRIAN INSTITUTE OF TECHNOLOGY GMBH (AIT)
FEBUS OPTICS (FEB)
INFOLYSIS P.C. (INF),
X-NET SERVICES GMBH (XNET)
No results found