System and Methods for Estimation and Improvement of User, Service and Network QOE Metrics

TLDR: In this paper, the authors present methods for estimating Subscriber Quality of Experience (QOE) for mobile users accessing networks for different services from observed data in control and user planes in mobile wireless networks and then summarizing inferences per user, per service, per sector, group of sectors and other aggregate points, and exporting this information for reducing user churn, network planning and network tuning, application adaptation to improve QOE are disclosed.

Abstract: Methods for estimating Subscriber quality of experience (QOE) for mobile users accessing networks for different services from observed data in control and user planes in mobile wireless networks and then summarizing inferences per user, per service, per sector, group of sectors and other aggregate points, and exporting this information for reducing user churn, network planning and network tuning, application adaptation to improve QOE are disclosed. Methods for improving subscriber QOE metrics for certain applications, services and web-sites for improved monetization methods are also presented. The methods facilitate quantifying network goodness from the user application point of view, and exporting triggers to other network elements, such as SON Server, OSS and PCRF, when QOE anomalies are detected. Additionally, this exported information could also trigger content adaptation, delivery optimizations and other actions. Finally, client, server and intermediary enhancements to improve QOE of certain applications in delay/capacity varying networks are presented.