Machine learning system for predicting network abnormalities
US12095628B2 · kind B2 · utility
1Cited by
49References
15Claims
0Family size
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Key dates
| Filing date | Oct 19, 2022 |
| Grant date | Sep 17, 2024 |
| Priority date | — |
| Expiry date | Oct 19, 2042 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L41/0894
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A machine learning system automatically diagnoses and resolves issues in a telecommunications network. When a customer reports a network issue using a mobile application, the device performs a diagnostic test, such as a speed test. In addition, network logs or performance metrics during occurrence of the network issue are collected. The results of the diagnostic are used as inputs to a machine learning model in combination with the network logs or metrics to predict the cause of the network issue or to perform a corrective action.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.