Collective intelligence-based cell congestion detection in mobile telecommunications networks
US10999760B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 9, 2019 |
| Grant date | May 4, 2021 |
| Priority date | — |
| Expiry date | May 9, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W28/0831
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Concepts and technologies disclosed herein are directed to collective intelligence-based cell congestion detection in mobile telecommunications networks. According to some aspects of the concepts and technologies disclosed herein, a core network element or device application can detect cell congestion based upon Internet layer, transport layer, and application layer data, such as, for example, traffic type, volume, rate, latency, jitter, and the like. According to one aspect disclosed herein, a cell congestion detection (“CCD”) system can collect data from an Internet layer, a transport layer, and an application layer. The CCD system can apply a machine learning algorithm to the data to determine whether the cell is congested. According to another aspect the CCD system can collect the data that is associated with a specific application executed by a plurality of UE devices connected to a cell.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.