Mobility reporting for non-serving cells based on machine learning

An apparatus for wireless communication, comprising:

• memory;
• a transceiver;
• and
• at least one processor of a user equipment (UE), the at least one processor coupled with the memory and the transceiver, and the at least one processor configured to cause the apparatus to:
• establish communications between the UE and a serving cell, the serving cell different than each non-serving cell of a set of non-serving cells for the UE;
• use one or more machine learning models to determine one or more outputs associated with mobility measurement reporting for the UE, wherein the one or more outputs indicate:
• whether to perform measurements associated with the set of non-serving cells,
• whether to report the measurements associated with the set of non-serving cells,
• one or more non-serving cells within the set of non-serving cells for performing or reporting the measurements,
• one or more reference signals of the one or more non-serving cells for performing the measurements, or
• any combination thereof;
• and
• perform the mobility measurement reporting based at least in part on the one or more outputs.

An apparatus for wireless communication at a user equipment (UE), comprising:

• means for establishing communications between the UE and a serving cell, the serving cell different than each non-serving cell of a set of non-serving cells for the UE;
• means for using one or more machine learning models to determine one or more outputs associated with mobility measurement reporting for the UE, wherein the one or more outputs indicate:
• whether to perform measurements associated with the set of non-serving cells,
• whether to report the measurements associated with the set of non-serving cells,
• one or more non-serving cells within the set of non-serving cells for performing or reporting the measurements,
• one or more reference signals of the one or more non-serving cells for performing the measurements, or
• any combination thereof;
• and
• means for performing the mobility measurement reporting based at least in part on the one or more outputs.

A non-transitory computer-readable medium storing code for wireless communication at a user equipment (UE), the code comprising instructions executable by a processor to:

• establish communications between the UE and a serving cell, the serving cell different than each non-serving cell of a set of non-serving cells for the UE;
• use one or more machine learning models to determine one or more outputs associated with mobility measurement reporting for the UE, wherein the one or more outputs indicate:
• whether to perform measurements associated with the set of non-serving cells,
• whether to report the measurements associated with the set of non-serving cells,
• one or more non-serving cells within the set of non-serving cells for performing or reporting the measurements,
• one or more reference signals of the one or more non-serving cells for performing the measurements,
• or any combination thereof;
• and
• perform the mobility measurement reporting based at least in part on the one or more outputs.