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QoE-Driven DASH Video Caching and Adaptation at 5G Mobile Edge

Ge, Chang, Wang, Ning, Skillman, Severin, Foster, G and Cao, Y (2016) QoE-Driven DASH Video Caching and Adaptation at 5G Mobile Edge In: 3rd ACM Conference on Information-Centric Networking (ICN 2016), 2016-09-26 - 2016-09-28, Kyoto, Japan.

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Abstract

In this paper, we present a Mobile Edge Computing (MEC) scheme for enabling network edge-assisted video adaptation based on MPEG-DASH (Dynamic Adaptive Streaming over HTTP). In contrast to the traditional over-the-top (OTT) adaptation performed by DASH clients, the MEC server at the mobile network edge can capture radio access network (RAN) conditions through its intrinsic Radio Network Information Service (RNIS) function, and use the knowledge to provide guidance to clients so that they can perform more intelligent video adaptation. In order to support such MECassisted DASH video adaptation, the MEC server needs to locally cache the most popular content segments at the qualities that can be supported by the current network throughput. Towards this end, we introduce a two-dimensional user Quality-of-Experience (QoE)-driven algorithm for making caching / replacement decisions based on both content context (e.g., segment popularity) and network context (e.g., RAN downlink throughput). We conducted experiments by deploying a prototype MEC server at a real LTE-A based network testbed. The results show that our QoE-driven algorithm is able to achieve significant improvement on user QoE over 2 benchmark schemes

Item Type: Conference or Workshop Item (Conference Paper)
Subjects : Communication
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Communication Systems Research
Authors :
NameEmailORCID
Ge, Changc.ge@surrey.ac.ukUNSPECIFIED
Wang, NingN.Wang@surrey.ac.ukUNSPECIFIED
Skillman, Severins.skillman@surrey.ac.ukUNSPECIFIED
Foster, GUNSPECIFIEDUNSPECIFIED
Cao, YUNSPECIFIEDUNSPECIFIED
Date : September 2016
Identification Number : 10.1145/2984356.2988522
Copyright Disclaimer : Copyright ACM 2016. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record has been published at http://www.acm.org/
Contributors :
ContributionNameEmailORCID
UNSPECIFIEDAssociation of Computing Machinery, UNSPECIFIEDUNSPECIFIED
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 21 Oct 2016 14:07
Last Modified : 31 Oct 2017 18:49
URI: http://epubs.surrey.ac.uk/id/eprint/812547

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