Concept
An envisioned large-scale, heterogeneous, virtualized, and potentially disaggregated 6G-RAN architecture: Powered by next-generation physical layer technologies, the 6G-RAN architecture aims to deliver unprecedented performance and efficiency while supporting a wide variety of new services. The native integration of AI/ML technologies will be crucial to deploy and operate these complex systems effectively.
Methodology
The 6G-MIRAI-HARMONY project is structured around five Research and Technology Items (RTIs) to achieve its objectives:
- RTI1: Develop realistic models and datasets to serve as the foundation for innovative technological solutions.
- RTI2: Focus on enabling AI/ML techniques for key physical layer components, ensuring reliability, robustness, and scalability.
- RTI3: Explore AI-driven solutions for efficient coordination of physical layer components, higher-layer functions, and control planes, especially in cell-free networks.
- RTI4: Provide design guidelines for AI-ready 6G-RAN architectures, leveraging the solutions from RTI2 and RTI3.
- RTI5: Investigate methodologies for data management, testing, and validation, integrating inputs from RTI1, RTI2, and RTI3.
6G-MIRAI-HARMONY Concept
6G-MIRAI-HARMONY Methodology
Know-how and scientific collaboration of project partners in 6G-MIRAI-HARMONY to reach the planned results
6G-MIRAI-HARMONY Work Package structure to implement the described concept and methodology
Explore 6G-MIRAI-HARMONY’s innovative AI-driven concepts and methodologies for revolutionizing next-generation wireless communication networks.
6G-MIRAI-HARMONY
Links
6G-MIRAI project has received funding from the Smart Networks and Services Joint Undertaking (SNS JU) under the European Union’s Horizon Europe research and innovation program under Grant Agreement No 101192369.
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