Deceiving Reactive Jamming in Dynamic Wireless Sensor Networks: A Deep Reinforcement Learning Based Approach-Reference-Cited by-同舟云学术

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Deceiving Reactive Jamming in Dynamic Wireless Sensor Networks: A Deep Reinforcement Learning Based Approach

Published:2023-12-04 Issue: Volume: Page:4455-4460
ISSN:
Container-title:GLOBECOM 2023 - 2023 IEEE Global Communications Conference
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Author:

Zhang Chen¹,Mao Tianqi¹,Xiao Zhenyu¹,Liu Ruiqi²,Xia Xiang-Gen³

Affiliation:

1. School of Electronic and Information Engineering, Beihang University,Beijing,China

2. Wireless Research Institute, ZTE Corporation,Beijing,China,100029

3. University of Delaware,Department of Electrical and Computer Engineering,Newark,DE,USA,19716

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10436708/10436716/10437052.pdf?arnumber=10437052

Reference21 articles.

1. Detection of Stealthy Jamming for UAV-Assisted Wireless Communications: An HMM-Based Method

2. Antenna Array Enabled Space/Air/Ground Communications and Networking for 6G

3. IoTShare: A Blockchain-Enabled IoT Resource Sharing On-Demand Protocol for Smart City Situation-Awareness Applications

4. Joint Resource Allocation and 3-D Deployment for Multi-UAV Covert Communications

5. Joint Adaptation of Frequency Hopping and Transmission Rate for Anti-Jamming Wireless Systems

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