Heterogeneous Multiuser QoE Enhancement Over DASH in SDN Networks

Abstract

Among metrics that highly affect video quality and quality of experience (QoE), we can cite the stalling and the visual quality caused by mobile network overhead. Moreover, Dynamic Adaptive Streaming over HTTP (DASH) is widely used for video streaming to adapt the video in the current network conditions and improve the bandwidth utilization. In fact, a good rate adaptation algorithm is a novel technology can easily ameliorate the user perception and the quality of video. Although, several researches innocently estimate bandwidth from a one-sided client perspective, without taking into account other devices in the network. This behavior can trains in inequity and could potentially lower QoE for all clients. In this paper, we propose a novel approach based on Software Defined Network and DASH in order to reduce the stalling events during the video that aims to fairly enhance the QoE of multiple competing clients in a shared network environment. To do this, we first propose architecture to improve the user perception for a single user and in a second point; we generalize the proposed method for all users demanding a video service. The performance evaluation is conducted by using network simulator and the obtained results show that our approach can give significant gain in terms of user satisfaction.