
This report documents findings and conclusions of AI-enhanced MIMO methods and mmWave communications for 6G Air Interface. It includes the contributions of CENTRIC WP3 on AI-based beam management and sensing in mmWave communications and AI-empowered MIMO communications. The contributions for AI-based beam management and sensing target challenges in beam tracking and prediction, and environment specific beam management. The contributions for AI-empowered MIMO target challenges in enhanced CSI acquisition, MIMO pre-processing and learning based MIMO receivers. Overall, the report demonstrates the feasibility and benefits of AI/ML based methods for 6G Air Interface.
MIMO, ISAC, mmWave, Neural receiver, PHY Security, CSI, AI, Sensing, Beam management
MIMO, ISAC, mmWave, Neural receiver, PHY Security, CSI, AI, Sensing, Beam management
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