China Telecom · 9.1.1

China Telecom advocates FOR comprehensive support of multiple data collection options for flexibility across different LCM purposes (training, monitoring, inference), beam prediction accuracy KPIs as primary performance monitoring metrics, and full Set A measurement for accurate UE-assisted performance monitoring. They push AGAINST using only single resource set configurations for Set B in UE-sided models and deprioritize link quality metrics for AI/ML model performance monitoring, arguing these don't directly reflect prediction accuracy.

China Telecom advocates for a comprehensive AI/ML beam management framework that supports both network-sided and UE-sided models with flexible data collection mechanisms. They push FOR beam prediction accuracy KPIs as the primary performance monitoring metric and support hybrid RSRP reporting (predicted vs measured). They push AGAINST using only probability information for performance monitoring and oppose single resource set configuration for Set B in UE-sided models, arguing these approaches lack sufficient accuracy and network utility.