Novel Cooperative Automatic Modulation Classification Based on Received-Signal Quality-Reference-Cited by-同舟云学术

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Novel Cooperative Automatic Modulation Classification Based on Received-Signal Quality

Published:2024-06-19 Issue: Volume:16 Page:1-7
ISSN:
Container-title:2024 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)
language:
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Author:

Rao Xiaoxue¹,Yan Xiao¹,Wang Qian¹,Wu Hsiao-Chun²,Wu Yiyan³

Affiliation:

1. University of Electronic Science and Technology of China,School of Aeronautics and Astronautics,Chengdu,China

2. Louisiana State University,School of Electrical Engineering and Computer Science,Baton Rouge,USA

3. Communications Research Centre,Ottawa,Canada

Funder

Natural Science Foundation of Sichuan Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10608145/10608191/10608244.pdf?arnumber=10608244

Reference21 articles.

1. GS-QRNN: A High-Efficiency Automatic Modulation Classifier for Cognitive Radio IoT

2. Radio Frequency Spectrum Sensing by Automatic Modulation Classification in Cognitive Radio System Using Multiscale Deep CNN

3. Deep Learning Models for Wireless Signal Classification With Distributed Low-Cost Spectrum Sensors

4. Automatic Modulation Classification Methods for Wireless OFDM Systems in TDD Mode

5. Modulation classification based on fourth-order cumulants of superposed signal in noma systems;L;IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews),2021

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