Enhance user experience based on traffic in operator network

Abstract: The increasing usage of numerous mobile applications can cause impairments in cellular network performance. Such impairments result in performance degradation that can reduce the satisfaction level of subscribers. Consequently, subscribers may switch between different network operators to get good user experience. Thus the success of any network operator will primarily depend on the ability to ensure quality of experience (QoE), where QoE is a measure of the subscriber’s satisfaction level and is closely related to the performance of networks. Our work aims to identify the key performance indicators (KPI)which in turn can comprehensively model the QoE. Since the popularity of web browsing and video streaming applications continues to increase rapidly, analyzing the KPI of such applications will help to identify the parameters which degrade network performance the most. The analyzed KPIs are tested with different user equipments and different network load. This thesis work also includes tuning the Radio Network Controller (RNC) parameters to analyze the variation in user experience. Important performance metrics of webbrowsing and video streaming applications have been considered to measure the QoE. Atest environment for QoE estimation was developed using real Radio Network Controller(RNC) and simulatable models of the Core Network(CN) and User Equipments (UEs). Simulations with this test set up and subsequent analyses help to identify some of the RNC parameters which influence the QoE. Furthermore, simulatable models of widely used UEssuch as iPhone 6 and iPhone 3 were included in the test environment to assess their relative performance for web browsing and video streaming applications. Our simulation results confirm the superior performance of iPhone 6 which reinforces the reliability of our testbed. Finally, the simulations also helped to illustrate the degradation in QoE caused by the increase in RNC load.