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

A network component of a communications network, comprising:

• one or more memories;
• one or more transceivers;
• and
• one or more processors communicatively coupled to the one or more memories and the one or more transceivers, the one or more processors, either alone or in combination, configured to:
• transmit, via the one or more transceivers, to a user equipment (UE), 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;
• and
• receive, via the one or more transceivers, a processed set of positioning measurement features from the UE,
• wherein the processed set of positioning measurement features is processed from positioning measurement data associated with a location of the UE based on 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,
• wherein the UE is a subscriber device that subscribes to one or more communications services provided via the communications network.

A network component of a communications network, comprising:

• means for transmitting, to a user equipment (UE), 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;
• and
• means for receiving a processed set of positioning measurement features from the UE,
• wherein the processed set of positioning measurement features is processed from positioning measurement data associated with a location of the UE based on 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,
• wherein the UE is a subscriber device that subscribes to one or more communications services provided via the communications network.

A non-transitory computer-readable medium storing computer-executable instructions that, when executed by a network component of a communications network, cause the network component to:

• transmit, to a user equipment (UE), 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;
• and
• receive a processed set of positioning measurement features from the UE,
• wherein the processed set of positioning measurement features is processed from positioning measurement data associated with a location of the UE based on 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,
• wherein the UE is a subscriber device that subscribes to one or more communications services provided via the communications network.