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Data · dataset · 2026

Integrating Network Digital Twinning into Future AI-based 6G Systems: The 6G-TWIN Vision [* Cross-Reference *]

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As we move closer to the 6G era, the complexity and dynamism of communication networks is set to increase significantly.

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This requires more sophisticated, automated management solutions, while retaining human oversight. To meet these new challenges, it is essential to build new architectures that provide a secure environment for closed-loop network automation and to enable optimal resource planning, management and control.

In this context, this paper presents the vision of the European 6G-TWIN consortium, which focuses on the creation of a cyber-physical continuum that seamlessly merges the physical world with its digital representation, through the concept of Network Digital Twin (NDT) and its integration into an Artificial Intelligence (AI)-based 6G architecture. This initiative aims to bridge the gap between the increasing complexity of networks and their operational performance, potentially improving real-time user experiences across multiple domains.

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This paper specifically highlights the associated key challenges and the approach taken by 6G-TWIN to address them. ***This entry has been automatically imported via Datacite by LIST harvest scripts. Please refer to doi.org/10.5281/zenodo.12635244 for the original and latest version of the dataset and data downloads***

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