Deep Reinforcement Learning-Driven Jamming-Enhanced Secure Unmanned Aerial Vehicle Communications

Deep Reinforcement Learning-Driven Jamming-Enhanced Secure Unmanned Aerial Vehicle Communications

Despite its flexibility, unmanned aerial vehicle (UAV) communications are susceptible to eavesdropping due to the open nature of wireless channels and the broadcasting nature of wireless signals. This paper studies secure UAV communications and proposes a method to optimize the minimum secrecy rate...

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Bibliographic Details
Main Authors: Zhifang Xing, Yunhui Qin, Changhao Du, Wenzhang Wang, Zhongshan Zhang
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Sensors
Subjects:
unmanned aerial vehicle (UAV)
jamming UAV
deep reinforcement learning
sequential decision problem
Online Access:https://www.mdpi.com/1424-8220/24/22/7328
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