Energy-Efficient Trajectory Optimization with Wireless Charging in UAV-Assisted MEC Based on Multi-Objective Reinforcement Learning-Reference-Cited by-同舟云学术

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Energy-Efficient Trajectory Optimization with Wireless Charging in UAV-Assisted MEC Based on Multi-Objective Reinforcement Learning

Published:2024 Issue: Volume: Page:1-18
ISSN:1536-1233
Container-title:IEEE Transactions on Mobile Computing
language:
Short-container-title:IEEE Trans. on Mobile Comput.

Author:

Song Fuhong¹^ORCID,Deng Mingsen¹^ORCID,Xing Huanlai²^ORCID,Liu Yanping³^ORCID,Ye Fei⁴^ORCID,Xiao Zhiwen²^ORCID

Affiliation:

1. School of Information, Guizhou University of Finance and Economics, Guiyang, China

2. School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China

3. College of Big Data Statistics, Guizhou University of Finance and Economics, Guiyang, China

4. Department of Computer Science, University of York, York, U.K.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7755/4358975/10490132.pdf?arnumber=10490132

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An improved dung beetle optimizer for UAV 3D path planning;The Journal of Supercomputing;2024-08-28

2. Network Slicing-Assisted Task Transmission and Offloading Based on H-NOMA UAV Communication;Proceedings of the 2024 Asia Pacific Conference on Computing Technologies, Communications and Networking;2024-07-26

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