Anti-Eavesdropping Scheme Based on Reinforcement Learning in Vehicular Communication Networks-Reference-Cited by-同舟云学术

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Anti-Eavesdropping Scheme Based on Reinforcement Learning in Vehicular Communication Networks

Published:2023-07-07 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Ubiquitous Communication (Ucom)
language:
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Author:

Rui Yunhe¹,Yao Yu²,Li Xuan¹,Cheng Xu³,Shu Feng²

Affiliation:

1. School of Information Engineering, East China Jiaotong University,Nanchang,China

2. School of Information and Communication Engineering, Hainan University,Haikou,China

3. School of Electronic and Communication Engineering, Sun Yatsen University,Shenzhen,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10256667/10257572/10257659.pdf?arnumber=10257659

Reference15 articles.

1. Wireless Information Surveillance via Proactive Eavesdropping with Spoofing Relay

2. IEEE 802.11ad-Based Radar: An Approach to Joint Vehicular Communication-Radar System

3. Q-Learning Based Two-Timescale Power Allocation for Multi-Homing Hybrid RF/VLC Networks

4. A Collaborative Multi-Agent Reinforcement Learning Anti-Jamming Algorithm in Wireless Networks

5. Toward Optimal Adaptive Wireless Communications in Unknown Environments

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