Geolocation of wireless network users

A non-transitory computer-readable storage device storing a plurality of instructions which, when executed by a processing system including at least one processor, cause the processing system to perform operations, the operations comprising:

• selecting a first machine learning model from among a plurality of machine learning models that are trained for use in performing geolocation, wherein the first machine learning model is selected to perform geolocation within a first cell of a plurality of cells of a wireless network;
• acquiring event data from a plurality of wireless devices operating within the first cell;
• grouping the event data into a plurality of records, wherein each record of the plurality of records contains event data that indicates a common wireless device of the plurality of wireless devices, a common cell of the plurality of cells, and a common timestamp;
• and
• generating a predicted location of a first wireless device of the plurality of wireless devices, using the first machine learning model, wherein the first machine learning model outputs the predicted location in response to an input of the a record of the plurality of records.

An apparatus comprising:

• a processing system including at least one processor;
• and
• a non-transitory computer-readable storage device storing a plurality of instructions which, when executed by the processing system cause the processing system to perform operations, the operations comprising:
• selecting a first machine learning model from among a plurality of machine learning models that are trained for use in performing geolocation, wherein the first machine learning model is selected to perform geolocation within a first cell of a plurality of cells of a wireless network;
• acquiring event data from a plurality of wireless devices operating within the first cell;
• grouping the event data into a plurality of records, wherein each record of the plurality of records contains event data that indicates a common wireless device of the plurality of wireless devices, a common cell of the plurality of cells, and a common timestamp;
• and
• generating a predicted location of a first wireless device of the plurality of wireless devices, using the first machine learning model, wherein the first machine learning model outputs the predicted location in response to an input of a record of the plurality of records.