Enhancing Video QoE Over High-speed Train Using Segment-based Prefetching and Caching

Cao, Yue and Wang, Ning and Wu, Celimuge Wu and Zhang, Xu and Suthaputchakun, Chakkaphong (2019) Enhancing Video QoE Over High-speed Train Using Segment-based Prefetching and Caching. IEEE MultiMedia, 26 (4). pp. 55-66. ISSN 1070-986X

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Abstract

The big picture of 5G will bring a range of new unique service capabilities, where ensuring Quality of Experience (QoE) continuity in challenging situations such as high mobility, e.g. on-board User Equipments (UEs) in High Speed Train (HST) is one of sharp killer applications. In this paper, we propose a Mobile Edge Computing (MEC) driven solution to improve QoE, for UEs in the HST with perceived Dynamic Adaptive Streaming over HTTP (DASH) video demands. Considering the challenging wireless communication conditioning (e.g., path loss and Doppler Effect due to high mobility) between HST and Base Station (BS) along the railway for enabling progress and seamless video consuming, the case study shows the benefit of MEC functions mainly from content prefetching and complementarily from content caching, over benchmark solution where UEs solely download video segments through challenging wireless channel.

Item Type:
Journal Article
Journal or Publication Title:
IEEE MultiMedia
Additional Information:
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Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1706
Subjects:
ID Code:
131905
Deposited By:
Deposited On:
11 Mar 2019 10:05
Refereed?:
Yes
Published?:
Published
Last Modified:
29 Feb 2020 06:44