Neural network functions for positioning measurement data 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, from a wireless network component, at least one neural network function configured to facilitate positioning measurement data processing at the UE, the at least one neural network function being generated dynamically based on machine-learning associated with one or more historical measurement procedures;
• obtain positioning measurement data associated with the UE;
• process the positioning measurement data into a respective set of positioning measurement features based on the at least one neural network function, wherein a positioning measurement feature is a refined and/or compressed representation of raw positioning measurement data;
• and
• transmit a report comprising the processed set of positioning measurement features to the wireless network component.

A wireless network component, 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:
• transmit, via the at least one transceiver, to a user equipment (UE), at least one neural network function configured to facilitate processing of positioning measurement data into one or more positioning measurement features at the UE, wherein a positioning measurement feature is a refined and/or compressed representation of raw positioning measurement data, the at least one neural network function being generated dynamically based on machine-learning associated with one or more historical measurement procedures;
• and
• receive, via the at least one transceiver, from the UE, a report comprising a set of positioning measurement features that is processed based on the at least one neural network function.