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EU funding (€3,213,495): End-to-end Network digital TWIns for Native AI drivEn 6G architectures Hor 6 Jul 2026 EU Research and Innovation programme "Horizon"

Overview

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

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.


Funded Companies:

Company name Funding amount
Fundacio Per A La Universitat Oberta de Catalunya ?
Athina-Erevnitiko Kentro Kainotomias Stis Technologies TIS Pliroforias, TON Epikoinonion Kai TIS Gnosis €538,969
Eurecom GIE €629,338
Iquadrat Informatica SL €846,564
Nvidia Denmark ApS €335,890
Telefonica Innovacion Digital SL €282,188
Universitaet Bremen €580,545

Source: https://cordis.europa.eu/project/id/101312201

The filing refers to a past date, and does not necessarily reflect the current state. The latest known state is available on the following page: Fundació Per A LA Universitat Oberta DE Catalunya, Barcelona, Spain.