User-level KQI anomaly detection using markov chain model
US10482158B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 31, 2017 |
| Grant date | Nov 19, 2019 |
| Priority date | — |
| Expiry date | Sep 19, 2037 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W24/08
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Techniques are provided for monitoring the performance of a user device in a communication network. The techniques include detecting an anomaly in a performance measurement such as a key quality indicator (KQI) of the user device. The techniques include obtaining historical measurements of the KQI for user devices. The historical measurements are assigned to states to reflect whether the performance is good or bad, or somewhere in between. The states can be defined differently for different hours in the day so that the states represent the relative performance for that time of day. For each user device, a Markov model is provided indicating probabilities of transitions between the states. Additional measurements are obtained of the KQI for a selected user device, and the Markov model of the selected user device is used to detect an anomaly in the additional measurements.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.