QoE Ready to Respond: A QoE-aware MEC Selection Scheme for DASH-based Adaptive Video Streaming to Mobile Users

Shi，Wanxin1,2; Li，Qing2,3; Zhang，Ruishan1; Shen，Gengbiao1; Jiang，Yong1,2; Yuan，Zhenhui4; Muntean，Gabriel Miro5

10.1145/3474085.3475325

2021-10-17

MM 2021 - Proceedings of the 29th ACM International Conference on Multimedia

4016-4024

The Multi-access Edge Computing (MEC) paradigm offers cloud-computing support to rich media applications, including Dynamic Adaptive Streaming over HTTP (DASH)-based ones at the edge of the network, close to mobile users. MEC servers, typically deployed at base stations (BS), help reduce latency and improve quality of experience (QoE) of video streaming. Unfortunately the communications involving mobile users require handovers between BSs and these influence both transmission efficiency because of the relative position of the MEC servers and transit cost. At the same time, serving MEC for a mobile user should not necessarily be changed when handover occurs. This paper introduces QoE Ready to Respond (QoE-R2R), a QoE-aware MEC Selection scheme for DASH-based mobile adaptive video streaming for optimizing video transmission in a MEC-supported network environment. Simulation-based testing shows that the proposed (QoE-R2R) scheme outperforms some traditional alternative solutions. Compared to hit rate and delay-based schemes, QoE-R2R reduces by 27.6% transmission time and improves with 6.2% QoE.

DASH handover MEC selection mobile users

通讯

英语

EI

20214711199974

Image communication systems ; Mobile telecommunication systems ; Video streaming

2-s2.0-85119337835

Scopus

1.International Graduate School,Tsinghua University,Shenzhen,China
2.Peng Cheng Laboratory,Shenzhen,China
3.Southern University of Science and Technology,Shenzhen,China
4.Department of Computer and Information Sciences,Northumbria University,United Kingdom
5.School of Electronic Engineering,Dublin City University,Galsnevin Campus,Dublin 9,Ireland

Shi，Wanxin,Li，Qing,Zhang，Ruishan,et al. QoE Ready to Respond: A QoE-aware MEC Selection Scheme for DASH-based Adaptive Video Streaming to Mobile Users[C],2021:4016-4024.