Automatic troubleshooting system for user-level performance degradation in cellular services
US12348990B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Sep 30, 2022 |
| Grant date | Jul 1, 2025 |
| Priority date | — |
| Expiry date | Jan 9, 2044 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W24/08
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Aspects of the subject disclosure may include, for example, training a cell-level machine learning model to predict a likelihood of a cell site in a cellular network having service issues that impact customers of the cellular network, training a user equipment (UE) level machine learning model using output information from the cell-level machine learning model and historical information about UE-level performance metrics, receiving, from a customer associated with a UE device operating on the cellular network, information about a service degradation experienced by the customer on the UE device, providing the information about the service degradation to the UE-level machine learning model; and receiving, from the UE-level machine learning model, information identifying a source of the service degradation. Other embodiments are disclosed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.