Invention Grant
- Patent Title: Collective intelligence-based cell congestion detection in mobile telecommunications networks
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Application No.: US16408013Application Date: 2019-05-09
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Publication No.: US10999760B2Publication Date: 2021-05-04
- Inventor: Zhengye Liu , Donglin Hu , Jin Wang
- Applicant: AT&T Intellectual Property I, L.P.
- Applicant Address: US GA Atlanta
- Assignee: AT&T Intellectual Property I, L.P.
- Current Assignee: AT&T Intellectual Property I, L.P.
- Current Assignee Address: US GA Atlanta
- Agency: Hartman & Citrin LLC
- Main IPC: H04W28/02
- IPC: H04W28/02 ; H04W40/02 ; H04W28/08 ; H04L12/803

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.
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