• EU-US research cooperation on selected critical 6G technologies and architectures exploring AI, paving the way towards global validation, adoption and standardisation of intelligent approaches, notably in the context of key 6G KPIs.
• A widely accepted framework for meaningful evaluation of proposed AI/ML-powered solutions for 6G networks.
• Technology validation in platforms where appropriate.
• Joint progress towards AI large scale applicability in 6G networks and standardisation opportunities supported by availability of common data sets and learning sequences provided in an open manner.

Please refer to the "Specific Challenges and Objectives" section for Stream B in the Work Programme, available under ‘Topic Conditions and Documents - Additional Documents’.

The scope of the target project covers:

• EU US R&I cooperation on key next generation wireless including 6G technologies and architectures powered by Artificial Intelligence. AI may be considered at various levels from a future target 6G systems, from lower layer radio aspects (e.g. reconfigurable waveform, Reflective Intelligent Surface processing, etc.) to higher layers targeting intelligent function placement, network self-configuration, security and resilience, or AI based support of user applications.
• Support to a reference framework for AI usage for the telecommunications domain in relation to 6G, including methodologies, reference use cases, data acquisition and generation, repositories, curated training and evaluation data, as well as the technologies and functionalities needed to use it as a benchmarking platform for future AI/ML solutions for 6G networks. The framework may address a wide range of usage contexts, covering both different applications areas of AI (e.g. physical layer, networking, security), and different business ecosystems (e.g. typical end to end network operators, open networks, cloud and infrastructure operators, federated and virtual operators). Typical 6G metrics should be able to be evaluated, including data rate, latency, density, energy efficiency, flexibility and performance, and/or security. Methods of accreditation of usage/compliance may also be considered to validate techniques.
• The scope includes availability of data sets, contributing to 6G Human Centricity and Societal acceptance and in compliance with the rules of data legislation, both existing and new ones created by the project, that may be used by researchers to validate AI approaches and inference rules applied to the selected network/device challenge. Contribution to the framework and data access is expected to add value, notably for improvement and expansion of data sets, tools and algorithms for efficient new AI/ML solutions. Generation and exchange of data across EU-US stakeholders is in scope where possible and appropriate. Proposals on validation of AI techniques over experimental platforms, additionally providing the associated datasets, are in scope.

Applicants are invited to explain how the EU-US cooperation will be implemented, i.e., the target US initiative to collaborate with and the approach of cooperation to be deployed with US stakeholders. The retained project is expected to work with relevant US funded project(s). Only organisations established in the EU and associated countries will be eligible for EU funding.