QoE-Assured 4K HTTP live streaming via transient segment holding at mobile edge.

Ge, C., Wang, N., Chai, W. K. and Hellwagner, H., 2018. QoE-Assured 4K HTTP live streaming via transient segment holding at mobile edge. IEEE journal on selected areas in communications. (In Press)

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DOI: 10.1109/JSAC.2018.2845000

Abstract

HTTP-based live streaming has become increasingly popular in recent years, and more users have started generating 4K live streams from their devices (e.g., mobile phones) through social-media service providers like Facebook or YouTube. If the audience is located far from a live stream source across the global Internet, TCP throughput becomes substantially suboptimal due to slow-start and congestion control mechanisms. This is especially the case when the end-to-end content delivery path involves radio access network (RAN) at the last mile. As a result, the data rate perceived by a mobile receiver may not meet the high requirement of 4K video streams, which causes deteriorated Quality-of-Experience (QoE). In this paper, we propose a scheme named Edge-based Transient Holding of Live sEgment (ETHLE), which addresses the issue above by performing context-aware transient holding of video segments at the mobile edge with virtualized content caching capability. Through holding the minimum number of live video segments at the mobile edge cache in a context-aware manner, the ETHLE scheme is able to achieve seamless 4K live streaming experiences across the global Internet by eliminating buffering and substantially reducing initial startup delay and live stream latency. It has been deployed as a virtual network function at an LTE-A network, and its performance has been evaluated using real live stream sources that are distributed around the world. The significance of this paper is that by leveraging on virtualized caching resources at the mobile edge, we have addressed the conventional transport-layer bottleneck and enabled QoE-assured Internet-wide live streaming to support the emerging live streaming services with high data rate requirements.

Item Type:Article
ISSN:0733-8716
Group:Faculty of Science & Technology
ID Code:30883
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:19 Jun 2018 13:40
Last Modified:19 Jun 2018 13:40

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