Adaptive energy-efficient and QoE-aware optimization method for mobile video services

Energy-efficient and quality of experience (QoE) are extremely important for video services. However, most studies just consider one of them. This paper proposes an adaptive energy-efficient and user's quality of experience optimization method to maximize the overall satisfaction of video services. Video content is encoded by the scalable video coding (SVC), which can provide mobile video services at different quality levels with associated energy consumption. Based on SVC, the power consumption model and video quality model of mobile video services are established. Then a utility function is proposed to measure overall satisfaction, which is defined to weight the energy consumption and the video quality. QoE and energy consumption are jointly optimized by dynamically triggering the layer switching during the video reproduction. The particle swarm optimization (PSO) algorithm is used to obtain the optimal solution. Simulation results show proposed method can achieve significant QoE levels and higher energy efficiency for mobile users.