Resource configurations for machine learning (ml) positioning model monitoring and life cycle management

Abstract

This disclosure provides systems, methods, and devices for wireless communication that support machine learning (ML) positioning model monitoring and life cycle management. In some aspects, a user equipment (UE) may receive, from a network entity, a configuration message associated with a first set of reference signals and a second set of reference signals. The UE may perform first measurements based on the first set of reference signals received from a first set of transmit/receive points (TRPs) to generate first measurement data. The UE may perform second measurements based on the second set of reference signals received from a second set of TRPs to generate second measurement data. The UE may transmit, to the network entity, a reporting message based on the second measurements or based on the first measurement data and the second measurement data. Other aspects and features are also claimed and described.