Energy efficiency and delay optimization for edge caching aided video streaming
journal contribution
posted on 2021-03-25, 09:44 authored by Guorong Zhou, Liqiang Zhao, Yunfeng Wang, Gan Zheng, Lajos HanzoIn 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.
Funding
National Natural Science Foundation of China under Grants 61771358 and 61901317
Fundamental Research Funds for the Central Universities (JB190104), Science and Technology Plan of XiAn City (2019217014GXRC006CG007-GXYD6.1)
National Key Research and Development Project 2017YFE0121300
111 Project (B08038)
Unlocking Potentials of MIMO Full-duplex Radios for Heterogeneous Networks (UPFRONT)
Engineering and Physical Sciences Research Council
Find out more...Leverhulme Trust Research Project under Grant RPG-2017-129
Cooperative backhaul aided next-generation digital subscriber loops
Engineering and Physical Sciences Research Council
Find out more...New Air Interface Techniques for Future Massive Machine-Type Communications
Engineering and Physical Sciences Research Council
Find out more...EP/P003990/1 (COALESCE)
Royal Society’s Global Challenges Research Fund Grant
European Research Council’s Advanced Fellow Grant QuantCom
History
School
- Mechanical, Electrical and Manufacturing Engineering
Published in
IEEE Transactions on Vehicular TechnologyVolume
69Issue
11Pages
14116 - 14121Publisher
IEEEVersion
- AM (Accepted Manuscript)
Rights holder
© IEEEPublisher statement
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works.Acceptance date
2020-10-05Publication date
2020-10-08Copyright date
2020ISSN
0018-9545eISSN
1939-9359Publisher version
Language
- en
Depositor
Dr Gan Zheng. Deposit date: 18 March 2021Usage metrics
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