QoE-Driven DASH Multicast Scheme for 5G Mobile Edge Network

Dynamic adaptive streaming over HTTP (DASH) can adaptively select the appropriate video bitrate for mobile users. Mobile edge computing (MEC) scenario is of great benefit to improve the performance of mobile networks by providing computing and storage capabilities. And the utilization of spectrum resources can be improved by multicast transmission, but the performance of the multicast transmission will be directly affected by the selected grouping algorithm and resource allocation algorithm. In order to improve the quality of experience (QoE) of video users in the 5G MEC scenario, this paper proposes a QoE-driven DASH multicast scheme, which mainly covers the grouping algorithm and the adaptive bitrate (ABR) algorithm. First of all, we take the optimized target QoE as the basis for grouping and propose an adaptive grouping algorithm that can dynamically adjust the grouping results. Besides, we design a joint optimization ABR algorithm based on the prediction of QoE, which comprehensively considers the process of resource allocation and bitrate decision-making based on the prediction of QoE of video segments in a certain forward-looking field of view. The simulation results show that the proposed DASH multicast scheme performs well in QoE and fairness.