Research On QoE Optimization Theory Based On Virtual Restructuring In Wireless Ubiquitous Networks

In recent years, driven by technology innovation and application requirements, mobilecommunication technology developed rapidly.Wireless ubiquitous networks appeared because ofthe coexistence of various wireless technologies. In this environment, users often have multipleterminals. Terminals use the cooperative communication between themselves to meet the demandof the user’s service. And the virtual restructuring technology arises at the historic moment. Thetechnology can improve the quality of business services. Meanwhile, it’s able to meet the user’srequirements from different aspects and different hierarchies, thus improve the quality of userexperience (QoE) greatly. This topic will focus on the QoE evaluation methods and optimizationtheory based on virtual restructuring in the wireless ubiquitous networks, the main work includes:Firstly, in combination with the objective factors and subjective factors that influencing QoE,it establishes a modified hierarchy index system of QoE based on virtual restructuring. In terms ofobjective factors, it uses the traditional QoE index system. In terms of subjective factors，it acquiresthe subjective factors through the user feedback. Then, it’s mapped to the corresponding key qualityindicators (KQI) respectively.Secondly, according to the modified QoE index system, a kind of QoE evaluation methodbased on virtual restructuring is proposed. In the first assessment cycle, it obtains the initial weightsof KQI through fuzzy analytic hierarchy process. Meanwhile, in the subsequent assessment cycle, itrealizes the dynamic update of KQI weights by the user feedbacks. And the simulation resultsdemonstrate the effectiveness of the proposed method.Finally, it proposes the Max-QoE optimization theory based on resources restructuring.Thetheory establishes the QoE optimization model of different user’s service, in the meantime, it solvesthe problem through the Linear Programming Approach.And the simulation results show that theMax-QoE optimization algorithm can well improve the user’s QoE.