Efficient Reinforcement Learning-Based Transmission Control for Mitigating Channel Congestion in 5G V2X Sidelink
Author:
Affiliation:
1. Department of Computer Science and Information Engineering, National Chung Cheng University, Minhsiung, Chiayi, Taiwan
Funder
Ministry of Science and Technology of Taiwan
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09793684.pdf?arnumber=9793684
Reference44 articles.
1. V2X-Based Vehicular Positioning: Opportunities, Challenges, and Future Directions
2. RAN Information-Assisted TCP Congestion Control Using Deep Reinforcement Learning With Reward Redistribution
3. Simultaneous Data Rate and Transmission Power Adaptation in V2V Communications: A Deep Reinforcement Learning Approach
4. Dynamic Channel Access and Power Control in Wireless Interference Networks via Multi-Agent Deep Reinforcement Learning
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