Machine learning model for assessing network performance
US12132627B1 · kind B1 · utility
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Key dates
| Filing date | Aug 4, 2023 |
| Grant date | Oct 29, 2024 |
| Priority date | — |
| Expiry date | Aug 4, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L65/80
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A network assessment system for generating subjective quality ratings for Internet protocol multimedia subsystem (IMS) data sessions in real-time. The system measures real-time telecommunications network data during an IMS data session, processes the data using a trained model, and receives a subjective quality rating usable to modify the performance of a node in instances where the node does not typically have an associated subjective quality rating or in instances where the node is not associated with a standardized subjective quality rating.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.