CATT · 9.1.1

CATT concludes that defining similar properties for DL Tx beams associated with an ID is unnecessary for UE-sided models, proposing instead that the associated ID be configured at the CSI-Report level. They argue that aligning Rx beam information between the network and UE is beneficial for NW-sided models to maintain prediction accuracy. For BM-Case2, CATT opposes extending Rel-17 TCI state activation for multiple future time instances, citing complexity and limited overhead benefits. They propose introducing an enhanced CPU pool for AI/ML processing, distinct from legacy CPUs, and support event-based performance monitoring linked to inference reports. Additionally, they suggest using predefined mappings for monitoring resources when full Set A measurement is not feasible.

CATT advocates FOR flexible AI/ML beam management solutions that reuse existing CSI framework mechanisms while introducing minimal specification impact. They push FOR supporting both UE-sided and network-sided models with comprehensive performance monitoring, AGAINST overly complex new signaling mechanisms, and favor practical approaches like reusing legacy TCI delay requirements and CPU mechanisms rather than creating entirely new frameworks.