Joint Optimization of Transmission and Computation Resources for Rechargeable Multi-Access Edge Computing Networks-Reference-Cited by-同舟云学术

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Joint Optimization of Transmission and Computation Resources for Rechargeable Multi-Access Edge Computing Networks

Published:2024-09 Issue:3 Volume:8 Page:1259-1272
ISSN:2473-2400
Container-title:IEEE Transactions on Green Communications and Networking
language:
Short-container-title:IEEE Trans. on Green Commun. Netw.

Author:

Liu Chang¹^ORCID,Wang Jun-Bo¹^ORCID,Zeng Cheng¹,Chen Yijian²^ORCID,Yu Hongkang³^ORCID,Pan Yijin¹^ORCID

Affiliation:

1. National Mobile Communications Research Laboratory, Southeast University, Nanjing, China

2. State Key Laboratory of Mobile Network and Mobile Multimedia Technology and the Wireless Research Institute, ZTE Corporation, Shenzhen, China

3. State Key Laboratory of Mobile Network and Mobile Multimedia Technology, ZTE Corporation, Shenzhen, China

Funder

National Natural Science Foundation of China

ZTE Industry-University-Institute Cooperation Funds

Chongqing Natural Science Joint Fund Project

Jiangsu Province Science and Technology Project

Research Fund of National Mobile Communications Research Laboratory Southeast University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7511293/10654695/10416880.pdf?arnumber=10416880

Reference38 articles.

1. Energy Efficiency and Delay Tradeoff in an MEC-Enabled Mobile IoT Network

2. Research Directions for the Internet of Things

3. Joint Optimization of Trajectory and Communication Resource Allocation for Unmanned Surface Vehicle Enabled Maritime Wireless Networks

4. Mobile Edge Computing and Networking for Green and Low-Latency Internet of Things

5. Toward Intelligent Task Offloading at the Edge

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