Expected Outcome:
- Optimized physical layer solutions and methods for an efficient, affordable, and accessible use of frequency spectrum, able to meet 6G technical KPIs and KVIs.
- Development of algorithms for massive MIMO systems for increased channel capacity and coverage improvements under difficult propagation conditions.
- An AI-native framework for RAN networks based on AI/ML and semantic technologies.
- Technologies and approaches for co-existence/sharing with other communication systems.
- Mechanisms and strategies to underpin automation and disaggregation in the RAN segment.
- Integration of function accelerators at the 6G RAN/compute continuum, where required.
- Algorithms, software and hardware implementations that can be eventually used for PoC and trials systems.
- Contributions to international standardisation.
Sustainability (from environmental, economic and societal perspectives) might be regarded as a horizontal aspect to be addressed by the aforementioned priorities, wherever possible. Developing technologies that will maximize system and equipment lifetime, thanks to modular, evolutive and flexible design that unlock the ability to adapt to new services, support new capabilities and satisfy 6G performance requirements is a relevant outcome.
Objective:Please refer to the "Specific Challenges and Objectives" section for Stream B-02 in the Work Programme, available under 'Topic Conditions and Documents - Additional Documents'.
Scope:The scope of this topic focuses on the following areas:
- Physical layer technologies for enhanced spectral efficiency which includes
