Machine Learning-Based Secret Key Generation for IRS-Assisted Multi-Antenna Systems-Reference-Cited by-同舟云学术

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Machine Learning-Based Secret Key Generation for IRS-Assisted Multi-Antenna Systems

Published:2023-05-28 Issue: Volume: Page:
ISSN:
Container-title:ICC 2023 - IEEE International Conference on Communications
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Author:

Chen Chen¹,Zhang Junqing¹,Lu Tianyu²,Sandell Magnus³,Chen Liquan²

Affiliation:

1. University of Liverpool,Department of Electrical Engineering and Electronics,Liverpool,United Kingdom,L69 3GJ

2. School of Cyber Science and Engineering, Southeast University,Nanjing,China,210096

3. Toshiba Research Europe Ltd.,Bristol Research and Innovation Laboratory,Bristol,United Kingdom,BS1 4ND

Funder

National Key Research, Development Program of China

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10278505/10278554/10279041.pdf?arnumber=10279041

Reference14 articles.

1. Maximization of the Channel-Based Key Establishment Rate in MIMO Systems

2. Optimal Pilots for Maximal Capacity of Secret Key Generation

3. New Viewpoint and Algorithms for Water-Filling Solutions in Wireless Communications

4. Rayleigh Fading Modeling and Channel Hardening for Reconfigurable Intelligent Surfaces

5. Machine Learning-Assisted Wireless PHY Key Generation with Reconfigurable Intelligent Surfaces

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Reconfigurable Intelligent Surface-Assisted Key Generation for Millimeter-Wave Multi-User Systems;IEEE Transactions on Information Forensics and Security;2024

2. Secret Key Generation for IRS-Assisted Multi-Antenna Systems: A Machine Learning-Based Approach;IEEE Transactions on Information Forensics and Security;2024

3. Reconfigurable Intelligent Surface-Aided Secret Key Generation in Multi-Cell Systems;IEEE Transactions on Communications;2023-11

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