Energy efficiency and delay optimization for edge caching aided video streaming

In this paper, we design a computing, communication and caching scheme for edge caching-based video streaming in order to improve the network performance. Firstly, we optimize the system’s energy efficiency and delay with the aid of network function virtualization. Then, a dynamic edge caching decision is developed, and based on Lyapunov optimization, an alternating resource optimization algorithm is proposed for
allocating the optimal subcarrier and power resources, video caching and computing resources. Our numerical results show that the proposed scheme outperforms both the traditional caching scheme as well as the least frequently used (LFU)-40% regime, and strikes a compelling tradeoff between the energy efficiency and delay.

Edge caching, computing, delay, energy efficiency, video streaming

10.1109/TVT.2020.3029742

0018-9545

14116-14121

Zhou, Guorong

dfe003c2-42dc-4cef-a657-27ac6f8cdf8f

Zhao, Liqiang

56dc3b9f-2ac1-4f99-a636-d37927ea154c

Wang, Yunfeng

f8884d00-c53c-4e05-beb3-36b61f12611b

Zheng, Gan

b11bd5ef-6c5e-44f0-a7e0-a679d94cae80

Hanzo, Lajos

66e7266f-3066-4fc0-8391-e000acce71a1

November 2020

Zhou, Guorong

dfe003c2-42dc-4cef-a657-27ac6f8cdf8f

Zhao, Liqiang

56dc3b9f-2ac1-4f99-a636-d37927ea154c

Wang, Yunfeng

f8884d00-c53c-4e05-beb3-36b61f12611b

Zheng, Gan

b11bd5ef-6c5e-44f0-a7e0-a679d94cae80

Hanzo, Lajos

66e7266f-3066-4fc0-8391-e000acce71a1

Zhou, Guorong, Zhao, Liqiang, Wang, Yunfeng, Zheng, Gan and Hanzo, Lajos (2020) Energy efficiency and delay optimization for edge caching aided video streaming. IEEE Transactions on Vehicular Technology, 69 (11), 14116-14121, [9217965]. (doi:10.1109/TVT.2020.3029742).

Record type: Article

Abstract

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Energy Efficiency and Delay Optimization for Edge Caching Aided Video Streaming - Accepted Manuscript

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Accepted/In Press date: 5 October 2020

e-pub ahead of print date: 8 October 2020

Published date: November 2020

Additional Information: Funding Information: Manuscript received May 18, 2020; revised August 31, 2020; accepted October 5, 2020. Date of publication October 8, 2020; date of current version November 12, 2020. This work was supported in part by the National Natural Science Foundation of China under Grants 61771358 and 61901317, in part by the Fundamental Research Funds for the Central Universities (JB190104), Science and Technology Plan of XiAn City (2019217014GXRC006CG007-GXYD6.1), in part by the National Key Research and Development Project 2017YFE0121300, and, in part by the 111 Project (B08038). The work was G. Zheng supported by the U.K. EPSRC under Grant EP/N007840/1 and the Leverhulme Trust Research Project under Grant RPG-2017-129. The work of L. Hanzo was supported by Engineering and Physical Sciences Research Council Projects EP/N004558/1, EP/P034284/1, EP/P034284/1, and EP/P003990/1 (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 Dr. Ngoc-Dun Gao. (Corresponding author: Lajos Hanzo.) Guorong Zhou, Liqiang Zhao, and Yunfeng Wang are with the State Key Laboratory of Integrated Service Networks at Xidian University, Xi’an 710071, China (e-mail: guor_zhou@163.com; lqzhao@mail.xidian.edu.cn; wyf1905@ qq.com). Publisher Copyright: © 1967-2012 IEEE.

Keywords: Edge caching, computing, delay, energy efficiency, video streaming

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