Deep Reinforcement Learning-Based Adaptive Computation Offloading and Power Allocation in Vehicular Edge Computing Networks-Reference-Cited by-同舟云学术

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Deep Reinforcement Learning-Based Adaptive Computation Offloading and Power Allocation in Vehicular Edge Computing Networks

Published:2024 Issue: Volume: Page:1-11
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Qiu Bin¹^ORCID,Wang Yunxiao²^ORCID,Xiao Hailin³^ORCID,Zhang Zhongshan⁴^ORCID

Affiliation:

1. School of Computer Science and Engineering, and Guangxi Key Laboratory of Embedded Technology and Intelligent System, Guilin University of Technology, Guilin, China

2. School of Computer Science and Engineering, Guilin University of Technology, Guilin, China

3. School of Computer Science and Information Engineering, Hubei University, Wuhan, China

4. School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, China

Funder

National Natural Science Foundation of China

Guangxi Natural Science Foundation

Guangxi Key Research and Development Program

Outstanding Young and Middle-Aged Science and Technology Innovation Team Project in 2021 by the University of Hubei Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6979/4358928/10517901.pdf?arnumber=10517901

Cited by 1 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. Multi-path serial tasks offloading strategy and dynamic scheduling optimization in vehicular edge computing networks;Vehicular Communications;2024-10

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