Selective triggering of neural network functions for positioning measurement feature processing at a user equipment

A user equipment (UE), comprising:

• a memory;
• at least one transceiver;
• and
• at least one processor communicatively coupled to the memory and the at least one transceiver, the at least one processor configured to:
• obtain information associated with a set of triggering criteria for a set of neural network functions, the set of neural network functions configured to facilitate positioning measurement data processing at the UE, the set of neural network functions being generated dynamically based on machine-learning associated with one or more historical measurement procedures;
• obtain positioning measurement data associated with a location of the UE;
• process the positioning measurement data into a respective set of positioning measurement features based at least in part upon the positioning measurement data and at least one neural network function from the set of neural network functions that is triggered by at least one triggering criterion from the set of triggering criteria;
• and
• report the processed set of positioning measurement features to a network component.

A user equipment (UE), comprising:

• means for obtaining information associated with a set of triggering criteria for a set of neural network functions, the set of neural network functions configured to facilitate positioning measurement data processing at the UE, the set of neural network functions being generated dynamically based on machine-learning associated with one or more historical measurement procedures;
• means for obtaining positioning measurement data associated with a location of the UE;
• means for processing the positioning measurement data into a respective set of positioning measurement features based at least in part upon the positioning measurement data and at least one neural network function from the set of neural network functions that is triggered by at least one triggering criterion from the set of triggering criteria;
• and
• means for reporting the processed set of positioning measurement features to a network component.

A non-transitory computer-readable medium storing computer-executable instructions that, when executed by a user equipment (UE), cause the UE to:

• obtain information associated with a set of triggering criteria for a set of neural network functions, the set of neural network functions configured to facilitate positioning measurement data processing at the UE, the set of neural network functions being generated dynamically based on machine-learning associated with one or more historical measurement procedures;
• obtain positioning measurement data associated with a location of the UE;
• process the positioning measurement data into a respective set of positioning measurement features based at least in part upon the positioning measurement data and at least one neural network function from the set of neural network functions that is triggered by at least one triggering criterion from the set of triggering criteria;
• and
• report the processed set of positioning measurement features to a network component.