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

Cel

6G research is already underway to shape the new generation telecommunication networks, aiming to deliver fully autonomous
multi-technology, potentially 3D networking infrastructures. One of the key enablers of 6G is undoubtedly the Native integration of
AI/ML at all system levels, components, and technology domains. However, this approach suffers in terms of decreased
trustworthiness, which acts as a barrier to the adoption of data-driven technologies in future 6G networks. To this end, ENTWINE-6G
research project aims to propose, design, and validate a novel automation architecture, aiming for the integration of Network Digital
Twins (NDTs) into an AI-driven 6G System, to facilitate trustworthy automation of multi-technology 6G infrastructures. ENTWINE-6G
proposes the cooperation of low-fidelity NDTs at the upper layers of the 6G architecture with high-fidelity twins that accurately model
6G infrastructure components. Moreover, ENTWINE-6G will contribute Trustworthy AI techniques, along with their associated
enabling technologies and theoretical frameworks that will be leveraged to increase robustness and ensure SLA compliance. Finally,
Generative techniques, including neural rendering, 3D diffusion, and NeRF, will emulate complex spatial and environmental
conditions that will be validated with powerful digital twins tools that support Ray-Traced channels.

Dziedzina nauki (EuroSciVoc)

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System finansowania

HORIZON-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral Networks

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Zaproszenie do składania wniosków

(odnośnik otworzy się w nowym oknie) HORIZON-MSCA-2025-DN-01

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Koordynator

ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSIS
Wkład UE netto
€ 538 968,96
Adres
ARTEMIDOS 6 KAI EPIDAVROU
151 25 MAROUSSI
Grecja
Region
Αττική Aττική Κεντρικός Τομέας Αθηνών
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Uczestnicy (5)

Partnerzy (4)