User equipment geolocation
AssigneeAT&T Intellectual Property I, L.P.
InventorsAbraham George, Ye Ge, Jie Chen, Wenjie Zhao
Life of this patent
Estimating the term…
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AssigneeAT&T Intellectual Property I, L.P.
InventorsAbraham George, Ye Ge, Jie Chen, Wenjie Zhao
Estimating the term…
The described technology is generally directed towards user equipment (UE) geolocation. A machine learning model can be trained to estimate UE locations based on historical network communication data associated with the UEs. In order to train the machine learning model, known previous UE locations and corresponding historical network communication data can be provided to the machine learning model. A variety of other information, such as topographical information, can also be provided to the machine learning model. The machine learning model can be trained to predict the known previous UE locations based on the corresponding historical network communication data and any other provided information. Once it is trained, the machine learning model can be deployed to estimate real-time UE locations based on historical network communication data associated with the UEs.
A method, comprising:
A device, comprising:
A machine-readable memory comprising executable instructions that, when executed by a processor, facilitate performance of operations, comprising:
Dependencies are inferred from the claim text.