Proportional-fair multi-user scalable layered wireless video streaming powered by energy harvesting
Proportional-fair multi-user scalable layered wireless video streaming powered by energy harvesting
The problem of adaptive multi-user scalable layered video transmission is considered in energy harvesting (EH) aided wireless communication systems. With the goal of improving the quality of video services while providing fairness amongst the users despite the random nature of both energy harvesting and the channel quality, we formulate our Scalable Video Coding (SVC) design as a Constrained Utility Function Maximization (CUFM) problem. The proportional fairness and playback smoothness of our design is guaranteed by maximizing the log-sum of the users’ video qualities, while satisfying the battery fullness constraint and video layer (quality) fluctuation constraint. By invoking the classical Lyapunov drift based optimization technique, we further decompose the CUFM problem into two parallel subproblems, i.e., a dynamic transmission power allocation problem and a dynamic layer selection problem. By solving these two subproblems, we derive a joint power allocation and video layer selection strategy for multi-user SVC video transmission. The theoretical performance bound of the proposed solution is also presented. Numerical simulations are conducted with real H.264 SVC video traces and the experimental results demonstrate the reduced playback interruption rate and layer switching rate compared to a heuristic algorithm ProNTO. The results also illustrate a tradeoff between the system’s utility function and the playback smoothness experienced by the users.
Energy harvesting, Lyapunov optimization, energy-efficient communication system, feasible direction method, proportional fairness, scalable video coding
4460 - 4471
Yang, Jian
6268e206-3057-4e66-a90b-a2288c30b0d8
Xie, Jinsen
3a8297cd-f5ca-478c-832c-b4a087299ce3
Chen, Shuangwu
7365b26b-794f-40f1-b620-df39462626aa
Wang, Zilei
448ba825-6e80-417d-bb7d-510b587c9a27
Hu, Han
c41a577a-455f-40f5-88f5-68ae0ec415c3
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
April 2020
Yang, Jian
6268e206-3057-4e66-a90b-a2288c30b0d8
Xie, Jinsen
3a8297cd-f5ca-478c-832c-b4a087299ce3
Chen, Shuangwu
7365b26b-794f-40f1-b620-df39462626aa
Wang, Zilei
448ba825-6e80-417d-bb7d-510b587c9a27
Hu, Han
c41a577a-455f-40f5-88f5-68ae0ec415c3
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Yang, Jian, Xie, Jinsen, Chen, Shuangwu, Wang, Zilei, Hu, Han and Hanzo, Lajos
(2020)
Proportional-fair multi-user scalable layered wireless video streaming powered by energy harvesting.
IEEE Transactions on Vehicular Technology, 69 (4), , [9020068].
(doi:10.1109/TVT.2020.2977779).
Abstract
The problem of adaptive multi-user scalable layered video transmission is considered in energy harvesting (EH) aided wireless communication systems. With the goal of improving the quality of video services while providing fairness amongst the users despite the random nature of both energy harvesting and the channel quality, we formulate our Scalable Video Coding (SVC) design as a Constrained Utility Function Maximization (CUFM) problem. The proportional fairness and playback smoothness of our design is guaranteed by maximizing the log-sum of the users’ video qualities, while satisfying the battery fullness constraint and video layer (quality) fluctuation constraint. By invoking the classical Lyapunov drift based optimization technique, we further decompose the CUFM problem into two parallel subproblems, i.e., a dynamic transmission power allocation problem and a dynamic layer selection problem. By solving these two subproblems, we derive a joint power allocation and video layer selection strategy for multi-user SVC video transmission. The theoretical performance bound of the proposed solution is also presented. Numerical simulations are conducted with real H.264 SVC video traces and the experimental results demonstrate the reduced playback interruption rate and layer switching rate compared to a heuristic algorithm ProNTO. The results also illustrate a tradeoff between the system’s utility function and the playback smoothness experienced by the users.
Text
SVC_Based Multi_User
- Accepted Manuscript
More information
Accepted/In Press date: 27 February 2020
e-pub ahead of print date: 2 March 2020
Published date: April 2020
Additional Information:
Funding Information:
Manuscript received November 9, 2019; accepted February 26, 2020. Date of publication March 2, 2020; date of current version April 16, 2020. This work was supported in part by the National Natural Science of China under Grant 61573329 and in part by Anhui Special Support Program. The work of L. Hanzo was supported by the Engineering and Physical Sciences Research Council Projects EP/Noo4558/1, EP/PO34284/1, and COALESCE, of the Royal Society‘s Global Challenges Research Fund Grant as well as of the European Research Council’s Advanced Fellow Grant QuantCom. The review of this article was coordinated by Prof. K. Le. (Corresponding author: Lajos Hanzo.) Jian Yang, Jinsen Xie, Shuangwu Chen, and Zilei Wang are with the School of Information Science and Technology, University of Science and Technology of China, Hefei 230027, China (e-mail: jianyang@ustc.edu.cn; jasenxie@mail.ustc.edu.cn; chensw@ustc.edu.cn; zlwang@ustc.edu.cn).
Publisher Copyright:
© 1967-2012 IEEE.
Keywords:
Energy harvesting, Lyapunov optimization, energy-efficient communication system, feasible direction method, proportional fairness, scalable video coding
Identifiers
Local EPrints ID: 438387
URI: http://eprints.soton.ac.uk/id/eprint/438387
ISSN: 0018-9545
PURE UUID: 62874d8f-df44-483e-9d13-d6cac033fe84
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Date deposited: 09 Mar 2020 17:30
Last modified: 18 Mar 2024 05:13
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Contributors
Author:
Jian Yang
Author:
Jinsen Xie
Author:
Shuangwu Chen
Author:
Zilei Wang
Author:
Han Hu
Author:
Lajos Hanzo
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