Phantom call reduction for cellular networks
US12294861B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 11, 2022 |
| Grant date | May 6, 2025 |
| Priority date | — |
| Expiry date | Nov 4, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W24/02
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
The described technology is generally directed towards reducing unwanted cellular network activities, such as phantom 911 calls or other unwanted cellular network activities. Machine learning models described herein can be trained, using device level data and network level data, to identify devices that are likely to engage in an unwanted cellular network activity. A trained machine learning model can be deployed to identify devices, and devices identified by the trained machine learning model can be re-configured to prevent them from engaging in the unwanted cellular network activity. Devices likely to engage in the unwanted cellular network activity are thus identified and reconfigured to prevent future unwanted cellular network activity before it occurs.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.