Google · 9.1.1

Google proposes supporting AP-CSI-RS and SSB (including Rel-19 on-demand SSB) as Set B reference signals for both BM-Case 1 and BM-Case 2 to align with current deployments. They require an inference report for BM-Case 1 to consume 1 eCPU and 1 legacy CPU, and propose defining predicted RSRP based on a reference transmission power. For TCI activation, Google supports configuring separate TCI state pools for legacy and predicted beams, and triggering aperiodic CSI-RS to reduce latency for unknown TCI states. They propose reusing the SCell BFR mechanism (SR+MAC CE) for event-triggered performance monitoring reports and support performance monitoring relaxation for low-mobility UEs. Finally, they propose configuring the associated ID per CSI report configuration to ensure consistency between training and inference.

Google advocates FOR comprehensive AI/ML beam management support including both network-side and UE-side models, pushing for flexible reference signal configurations (AP-CSI-RS, SSB), enhanced reporting mechanisms with confidence indicators, separate TCI state pools for AI/ML predictions, and practical implementation considerations like CPU resource management and performance monitoring relaxation. They strongly support Option 1 for inference configuration management to avoid multi-stage RRC configuration latency issues.