Title :
QoE-aware adaptive bitrate video streaming over mobile networks with caching proxy
Author :
Kai Dong ; Jun He ; Wei Song
Author_Institution :
Fac. of Comput. Sci., Univ. of New Brunswick, Fredericton, NB, Canada
Abstract :
As a widely used over-the-top (OTT) video technique, adaptive bitrate video streaming has attracted considerable research attention and efforts. Traditional bitrate adaptation schemes rely on quality of service (QoS) to assess video delivery quality. However, in this paper, we argue that QoS may not accurately reflect the user-perceived video quality, especially in time-varying wireless networks. Instead, we adopt the concept of quality of experience (QoE) and propose a novel caching-based adaptation scheme to improve the overall QoE, which can more comprehensively gauge the subjective user satisfaction of video quality. Experiments show that the proposed method outperforms existing adaptation schemes in terms of QoE in various network scenarios. This observation is mainly attributed to the merits of our scheme in properly leveraging channel bandwidth prediction and proxy-based content prefetching.
Keywords :
cache storage; mobile communication; quality of experience; storage management; time-varying networks; video streaming; OTT video technique; QoE; QoS; adaptive bitrate video streaming; caching-based adaptation scheme; channel bandwidth prediction; mobile networks; over-the-top video technique; proxy-based content prefetching; quality of experience; quality of service; subjective user satisfaction; time-varying wireless networks; user-perceived video quality; video delivery quality; Bandwidth; Bit rate; Prefetching; Servers; Streaming media; Throughput; Wireless communication; Adaptive bitrate streaming; bitrate adaptation; prefetching; quality of experience (QoE); wireless networks;
Conference_Titel :
Computing, Networking and Communications (ICNC), 2015 International Conference on
Conference_Location :
Garden Grove, CA
DOI :
10.1109/ICCNC.2015.7069438