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18928973. MACHINE LEARNING MODEL FOR ASSESSING NETWORK PERFORMANCE (T-Mobile USA, Inc.)

From WikiPatents

MACHINE LEARNING MODEL FOR ASSESSING NETWORK PERFORMANCE

Organization Name

T-Mobile USA, Inc.

Inventor(s)

Yinjun Zhu of Sammamish WA US

Jan Olav Opedal of Ellensburg WA US

Suchit Satpathy of Hackettstown NJ US

Srikrishna Srinivasan of Sammamish WA US

Yanbing Su of Frisco TX US

MACHINE LEARNING MODEL FOR ASSESSING NETWORK PERFORMANCE

This abstract first appeared for US patent application 18928973 titled 'MACHINE LEARNING MODEL FOR ASSESSING NETWORK PERFORMANCE

Original Abstract Submitted

A network assessment system for generating subjective quality ratings for Internet protocol multimedia subsystem (IMS) data sessions in real-time. The system measures real-time telecommunications network data during an IMS data session, processes the data using a trained model, and receives a subjective quality rating usable to modify the performance of a node in instances where the node does not typically have an associated subjective quality rating or in instances where the node is not associated with a standardized subjective quality rating.

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