Physical Layer Authentication for Mission Critical Machine Type Communication Using Gaussian Mixture Model Based Clustering-Reference-Cited by-同舟云学术

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Physical Layer Authentication for Mission Critical Machine Type Communication Using Gaussian Mixture Model Based Clustering

Published:2017-06 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE 85th Vehicular Technology Conference (VTC Spring)
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Author:

Weinand Andreas,Karrenbauer Michael,Lianghai Ji,Schotten Hans D.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8106913/8108170/08108527.pdf?arnumber=8108527

Cited by 9 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. Multi-Feature Physical Layer Authentication for URLLC based on Linear Supervised Learning;2023 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit);2023-06-06

2. URLLC Physical Layer Authentication based on non-linear Supervised Learning;2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring);2023-06

3. A Secure RPL Rank Computation and Distribution Mechanism for Preventing Sinkhole Attack in IoT-based Systems;IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS);2023-05-20

4. Struggles, Potential, and Research Angles in the Amalgamation of Blockchain Technology With 6G Networks;Role of 6G Wireless Networks in AI and Blockchain-Based Applications;2023-02-24

5. Role of Blockchain in Security of 6G Networks;Challenges and Risks Involved in Deploying 6G and NextGen Networks;2022-06-24

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