End-to-end Network digital TWIns for Native AI drivEn 6G architectures [ENTWINE-6G]

Our project aims to design and validate a novel 6G architecture where AI-native networking is enhanced by Network Digital Twins (NDTs)—bridging the gap between performance, automation, and trustworthiness. By combining low- and high-fidelity digital twins, along with advanced generative AI techniques, we target robust, scalable, and reliable next-generation communication systems.

Details

Duration: 01/2028 - 12/2030

Involved Staff

Last change on 13.08.2026 by M. Rihan
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