Video distribution strategy based on software defined network at the wireless edge

Video distribution strategies in wireless edge networks can significantly reduce video transmission latency and system energy consumption, meeting emerging video services' high-rate, low-latency requirements. However, channel condition variability and dynamics caused by user-to-base-station distance and user mobility affect the Quality of Experience (QoE). To address this problem, this paper examines adaptive video streaming strategies under dynamic channel conditions to optimize user QoE. Specifically, to achieve centralized control of wireless edge networks and simplify the management and scheduling of communication resources, Software-Defined Networking (SDN) is adopted within the wireless edge network, and an SDN-based edge caching architecture is proposed. Based on the virtual queue of users receiving video and combining various video factors to quantify the user QoE metric, an optimization problem is established to maximize the time-averaged total user QoE. Subsequently, an adaptive video distribution algorithm is designed, and the optimal video quality selection strategy and power allocation strategy are obtained in conjunction with Lyapunov optimization theory. Therefore, simulation results indicate that our approach significantly reduces video playback interruptions and enhances user QoE.