Machine Intelligence based Radio Access Infrastructure

ongoing

6G-Machine Intelligence based Radio Access Infrastructure (6G-MIRAI) aims at developing reliable and robust AI-native wireless communication systems that enable the practical exploitation of the full potential of the latest physical layer technological advances, especially cell-free massive MIMO, and of next-generation virtualized and potentially disaggregated radio access networks (RANs). To achieve this goal, 6G-MIRAI will rely on extensive know-how from established industry players and academic partners from both the EU and Japan. The overall goal of 6G-MIRAI is deconstructed into four main objectives: (O1) Reliable and robust AI-ML techniques for future wireless communications; (O2) Practical AI-native design of next-generation radio access networks; (O3) Common EU-JP platform for data, benchmarking, and validation; and (O4) Aligned EU-JP strategy on future standardization efforts. These objectives align with the EU HORIZON-JU-SNS-2024-STREAM-B-01-05 call requirements, focusing on the evolution of Radio Access Networks (RAN) for 6G to pave the way for future advancements towards AI-native radio access networks. All four objectives will contribute to aligning views on the radio interface and RAN concepts between the EU and Japan, and between main industry and academic institutions in the EU. 6G-MIRAI objectives will be achieved through five interconnected research and technology items: (RTI1) Realistic channel and hardware models to enable the AI-native air interface; (RTI2) Practical AI-based physical layer designs; (RTI3) Scalable AI-based network coordination; (RTI4) Evolved AI-ready architecture designs; and (RTI5) AI-oriented data management, testing, and proof-of-concept. These RTIs will enrich the technological portfolio of all involved partners and the 6G ecosystem, since they will have a direct impact on standardization, IP generation, and scientific publications.