User equipment geolocation
US11032665B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 25, 2020 |
| Grant date | Jun 8, 2021 |
| Priority date | — |
| Expiry date | Feb 25, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/044
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.