End-to-end Mobile Service Assurance system
Industry Problems

The evolvement of the mobile communication technologies and the growth of smartphones bring new challenges to telecommunication operators:
•     The traditional Network O&M is based on network KPIs to focus on the KPI of network entities and the status of devices, and do not take QoE and service into account. Hence, it cannot monitor and optimize the network according to the service and QoE.
•     O&M is implemented by Network Optimization Department and Core Network Department in telecommunications operators, which makes e2e QoS monitoring and troubleshooting difficult and even impossible.
•     Long cycle to handle customer complaints and to locate and determine the trouble in network side or terminal side, even cannot handle the trouble, which results in customer churn;
•     Traditional DPI tools focus on identifying applications and accumulating data flow, they are not capable to deeply mine the flows’ characteristics and analyze and process big data.
•     Can not accurate customers’ demand and then precise the marketing

Solution Overview

End-to-end Mobile Service Assurance system focuses on the E2E service.According to the network KPIs, the system deeply mines the factors influent the service and constructs QoE assurance system.


•     End to end network quality monitoring display
•     User trace and complaint handling
•     Application and terminal information analysis and statistics
•     Network fault and performance statistics


Key Technologies

•     Big data processing technology
•     DPI(Deep Packet Inspection)technology



Rapid analysis of complaint handling, improve user satisfaction
•     Track and tracethe service on the terminals during monitoring period
•     Rapidly find and differentiate the fault from the network side or the terminal side
•     Play back and check signaling to find out the fault reason and solve the problem quickly
End to end quality monitoring
•     Horizontal: E2E monitor and display user location, handover and cell information, and network quality in wireless network and core network.
•     Vertical: analyze the relationship of user behaviors, signaling interaction and network resource occupation from the upper layer applications to low layer wireless KPIs
Improve the user experience
•     Analyze the impact of wireless network quality on user service
•     Find and handle problems before user complains