A joint power and bandwidth allocation method based on deep reinforcement learning for V2V communications in 5G-Reference-Cited by-同舟云学术

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A joint power and bandwidth allocation method based on deep reinforcement learning for V2V communications in 5G

Published:2021-07 Issue:7 Volume:18 Page:25-35
ISSN:1673-5447
Container-title:China Communications
language:
Short-container-title:China Commun.

Author:

Hu Xin,Xu Sujie,Wang Libing,Wang Yin,Liu Zhijun,Xu Lexi,Li You,Wang Weidong

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/6245522/9495346/09495352.pdf?arnumber=9495352

Cited by 35 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. Resources allocation for underwater acoustic soft frequency reuse network based on multi-agent deep reinforcement learning;Physical Communication;2024-09

2. Handover for V2V communication in 5G using convolutional neural networks;Heliyon;2024-08

3. Locating the Root Cause of Poor Coverage in Mobile Communication Networks Based on Spatio-temporal Graph Message Propagation;2024 International Wireless Communications and Mobile Computing (IWCMC);2024-05-27

4. An LSTM-based hybrid proximal policy optimization spectrum access algorithm in vehicular network;International Journal of Intelligent Computing and Cybernetics;2024-04-30

5. Joint cooperative caching and power control for UAV-assisted internet of vehicles;Scientific Reports;2024-04-23

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