E³DOAS: balancing QoE and energy-saving for multi-device adaptation in future mobile wireless video delivery

Zou, Longhao, Trestian, Ramona ORCID: https://orcid.org/0000-0003-3315-3081 and Muntean, Gabriel-Miro (2018) E³DOAS: balancing QoE and energy-saving for multi-device adaptation in future mobile wireless video delivery. IEEE Transactions on Broadcasting, 64 (1) . pp. 26-40. ISSN 0018-9316 (doi:10.1109/TBC.2017.2722221)

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Abstract

Smart devices (e.g. smartphones, tablets, smart-home devices, etc.) have become important companions to most people in their daily activities, and are very much used for multimedia content exchange (i.e. video sharing, real-time/non-real-time multimedia streaming), contributing to the exponential increase in mobile traffic over the current wireless networks. While the next generation mobile networks will provide higher capacity than the current 4G systems, the network operators will face important challenges associated with the outstanding increase of both video traffic and user expectations in terms of their levels of perceived quality or Quality of Experience (QoE).
Furthermore, the heterogeneity of mobile devices (e.g. screen resolution, battery life, hardware performance) also impacts severely the end-user QoE. In this context, this paper proposes an Evolved QoE-aware Energy-saving Device-Oriented Adaptive Scheme (E3DOAS ) for mobile multimedia delivery over future wireless networks. E3DOAS makes use of a coalition game-based rate allocation strategy within the multi-device heterogeneous environment, and optimizes the trade-off between the end-user perceived quality of the multimedia delivery and the mobile device energy-saving. Testing has involved a prototype of E3DOAS, a crowd-sourcing-based QoE assessment method to model non-reference perceptual video quality, and an energy measurement testbed introduced to collect power consumption parameters of the mobile devices. Simulation-based performance evaluation showed how
E3DOAS outperformed other state of the art multimedia adaptive solutions in terms of energy saving, end-to-end Quality of Service (QoS) metrics and end-user perceived quality.

Item Type: Article
Research Areas: A. > School of Science and Technology > Computer and Communications Engineering
Item ID: 22133
Notes on copyright: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works
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Depositing User: Ramona Trestian
Date Deposited: 23 Jun 2017 13:55
Last Modified: 02 Apr 2019 20:12
URI: https://eprints.mdx.ac.uk/id/eprint/22133

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