The FLECON-6G project aims to realize an intelligent 6G network of networks by developing trustworthy, intent-driven frameworks and distributed network digital twins to enable zero-touch orchestration across multi-domain infrastructures. UNITY-6G focuses on creating a sustainable, scalable AI-native architecture that integrates distributed ledger technology and semantic communications to support diverse 6G requirements including non-terrestrial networks and open RAN. The 6G-LEADER initiative evolves physical layer and radio access network technologies through machine learning-empowered algorithms, full-duplex transceivers, and goal-oriented semantic communications. MultiX introduces a fusion perceptive 6G-RAN system that integrates sensing and communication capabilities via a streamlined functional split to support multi-sensorial perception for industrial and healthcare applications. AMBIENT-6G addresses the power challenges of billions of IoT devices by designing energy-neutral devices that utilize ambient energy harvesting and ultra-low-power 6G connectivity. NexaSphere conceptualizes a sustainable 3D network of networks integrating spaceborne, airborne, and terrestrial platforms to enhance mobile transportation and smart city services. The MARE project establishes a reliable 6G services platform featuring a programmable security plane and a smart pre-assessment environment to proactively handle cyber threats. XTRUST-6G implements a robust zero-trust security framework utilizing dynamic access control, micro-segmentation, and quantum-safe technologies to ensure resilience against evolving attacks. The 6G-MIRAI project fosters EU-Japan collaboration to develop reliable AI-native wireless systems and align on future radio access network standardization. 6GARROW promotes EU-Korea cooperation to advance AI-native radio access networks and integrated device approaches for enhanced efficiency and performance. SUSTAIN-6G develops a holistic sustainability framework addressing environmental, societal, and economic factors to guide the responsible innovation of 6G technologies. Finally, 6G-DALI delivers an end-to-end AI framework combining MLOps and DataOps to provide high-quality datasets and a digital twin testbed for training and validating 6G machine learning models.
Source: https://smart-networks.europa.eu/call-3-stream-b/
Keywords: intent-driven orchestration, digital twins, zero-trust security, AI-native RAN, sustainability framework