Abstract
Techniques are described for a machine learning based Voice over Long Term Evolution (VoLTE) trouble-shooting/diagnostic approach which can look at various data sources in the mobile packet core and identify the key issues by observations and correlations across data fields using machine learning techniques. It helps mobile operators to quickly identify fault domains in VoLTE calls and take corrective actions to enhance customer Quality of Experience (QoE).
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Gundavelli, Sri; Patki, Dhananjay; Srivastava, Vimal; and Nagireddy, Amarnath Reddy, "VOICE OVER LONG TERM EVOLUTION SERVICE QUALITY MEASUREMENTS AND DIAGNOSTICS USING MACHINE LEARNING TECHNIQUES", Technical Disclosure Commons, (January 09, 2019)
https://www.tdcommons.org/dpubs_series/1863