Physical Layer Security Performance Prediction Based on Deep Learning-Reference-Cited by-同舟云学术

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Physical Layer Security Performance Prediction Based on Deep Learning

Published:2023-08-04 Issue: Volume: Page:
ISSN:
Container-title:2023 2nd International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT)
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Author:

Wang Aiwen¹,Tang Jie¹,Luo Hongyu¹,Wen Hong¹,Han-Ho Pin²,Chang Shih Yu²

Affiliation:

1. University of Electronic Science and Technology of China,Institute of Aeronautics and Astronautics, USETC,Chengdu,China,611731

2. The University of Waterloo 200 University Avenue West Waterloo,Department of Electrical and Computer Engineering, UW,Ontario,Canada,N2L 3G1

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10336570/10336571/10336614.pdf?arnumber=10336614

Reference13 articles.

1. A Survey of Physical Layer Security Techniques for 5G Wireless Networks and Challenges Ahead

2. Physical Layer Security for Next Generation Wireless Networks: Theories, Technologies, and Challenges

3. Key Generation From Wireless Channels: A Review

4. UAV-Enabled Secure Communications: Joint Trajectory and Transmit Power Optimization

5. Convolutional-Type Neural Networks for Fading Channel Forecasting

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