Traffic identification using machine learning
US12250155B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 27, 2023 |
| Grant date | Mar 11, 2025 |
| Priority date | — |
| Expiry date | Nov 10, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W28/0236
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and devices for wireless communications are described. A first device may receive signaling associated with a traffic class from a second device. The first device may determine that the traffic class is included in a set of known traffic classes based on a set of features associated with the signaling. In response to determining that the traffic class is included in the set of known traffic classes, the first device may use a machine learning model to obtain a prediction of an application associated with the signaling. The prediction may be based on the set of features. The machine learning model may be trained at the first device or the second device. The first device may receive information associated with the machine learning model from the second device.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.