Method and system for filtering of abnormal network parameter values prior to being used in training of a prediction model in a communication network
US12316508B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 25, 2019 |
| Grant date | May 27, 2025 |
| Priority date | — |
| Expiry date | Oct 11, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W28/06
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A method and system of filtering abnormal network parameter values are described. A network node receives first values of first network parameters that are not trusted by the network node. The network node determines, based on an expected correlation between the first values of the first network parameters and second values of second network parameters, whether the first values of the first network parameters are anomalies. Responsive to determining that the first values of the first network parameters are not anomalies, the network node causes the first values to be used as input to train a network prediction model that is used for optimization of traffic in the network, and responsive to determining that the first values of the first network parameters are anomalies, the network node causes the first values to not be used to train the network prediction model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.