Method and apparatus for artificial intelligence/machine learning based life cycle management (lcm)

A user equipment (UE), comprising:

• a transceiver;
• and
• a processor configured to:
• transmit, to a base station, via the transceiver, a plurality of properties of supported functionalities for each of a plurality of artificial intelligence (AI)/machine leaning (ML) use cases, wherein each of the plurality of AI/ML use cases is configured with an individual use case identifier (ID),
• transmit, to the base station, via the transceiver, a maximum number of AI/ML active functionalities that the UE supports across the plurality of AI/ML use cases,
• receive, from the based station, via the transceiver, a report configuration based on the plurality of properties of supported functionalities for each of the plurality of AI/ML use cases and the maximum number of AI/ML active functionalities that the UE supports across the plurality of AI/ML use cases,
• generate a report based on the report configuration, and
• transmit the report to the base station.

A method performed by a base station, the method comprising:

• receiving, from a user equipment (UE), a plurality of properties of supported functionalities for each of a plurality of artificial intelligence (AI)/machine leaning (ML) use cases, wherein each of the plurality of AI/ML use cases is configured with an individual use case identifier (ID);
• receiving, from the UE, a maximum number of AI/ML active functionalities that the UE supports across the plurality of AI/ML use cases;
• generating a report configuration based on the plurality of properties of supported functionalities for each of the plurality of AI/ML use cases and the maximum number of AI/ML active functionalities that the UE supports across the plurality of AI/ML use cases;
• transmitting, to the UE, the report configuration;
• and
• receiving, from the UE, a report based on the report configuration.