200813-Energy Efficiency and Delay Optimization for Edge Caching Aided Video Streaming.pdf (387.08 kB)
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Energy efficiency and delay optimization for edge caching aided video streaming

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journal contribution
posted on 25.03.2021, 09:44 by Guorong Zhou, Liqiang Zhao, Yunfeng Wang, Gan ZhengGan Zheng, Lajos Hanzo
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.

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

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Leverhulme Trust Research Project under Grant RPG-2017-129

Cooperative backhaul aided next-generation digital subscriber loops

Engineering and Physical Sciences Research Council

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New Air Interface Techniques for Future Massive Machine-Type Communications

Engineering and Physical Sciences Research Council

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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 Technology

Volume

69

Issue

11

Pages

14116 - 14121

Publisher

IEEE

Version

AM (Accepted Manuscript)

Rights holder

© IEEE

Publisher 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

05/10/2020

Publication date

2020-10-08

Copyright date

2020

ISSN

0018-9545

eISSN

1939-9359

Language

en

Depositor

Dr Gan Zheng. Deposit date: 18 March 2021