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

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

Published:2024 Issue: Volume:19 Page:1086-1098
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

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

Affiliation:

1. Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, U.K.

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

3. Bristol Research and Innovation Laboratory, Toshiba Research Europe Ltd., Bristol, U.K.

Funder

National Key Research and Development Program of China

U.K. Engineering and Physical Sciences Research Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality

Link

http://xplorestaging.ieee.org/ielx7/10206/10319981/10315046.pdf?arnumber=10315046

Reference38 articles.

1. Intelligent Reflecting Surface-Assisted Wireless Key Generation for Low-Entropy Environments

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

3. Reconfigurable Intelligent Surface Assisted Secret Key Generation in Quasi-Static Environments

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

5. On Maximizing the Sum Secret Key Rate for Reconfigurable Intelligent Surface-Assisted Multiuser Systems

Cited by 2 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. Machine Learning Enhanced Near-Field Secret Key Generation for Extremely Large-Scale MIMO;2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN);2024-05-05

2. Review of the Capacity to Accurately Detect the Temperature of Human Skin Tissue Using the Microwave Radiation Method;Biosensors;2024-04-28

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