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RanNet: Learning Residual-Attention Structure in CNNs for Automatic Modulation Classification

Huynh-The, T, Pham, Q-V, Nguyen, T-V, Nguyen, Thanh Thi, da Costa, DB and Kim, D-S 2022, RanNet: Learning Residual-Attention Structure in CNNs for Automatic Modulation Classification, IEEE Wireless Communications Letters, vol. 11, no. 6, pp. 1-5, doi: 10.1109/lwc.2022.3162422.

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Title RanNet: Learning Residual-Attention Structure in CNNs for Automatic Modulation Classification
Author(s) Huynh-The, T
Pham, Q-V
Nguyen, T-V
Nguyen, Thanh ThiORCID iD for Nguyen, Thanh Thi orcid.org/0000-0001-9709-1663
da Costa, DB
Kim, D-S
Journal name IEEE Wireless Communications Letters
Volume number 11
Issue number 6
Start page 1
End page 5
Total pages 5
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Publication date 2022-06
ISSN 2162-2337
2162-2345
Keyword(s) Automatic modulation classification
Convolutional neural network
Residual-attention connection structure
Language eng
DOI 10.1109/lwc.2022.3162422
Field of Research 0805 Distributed Computing
0906 Electrical and Electronic Engineering
1005 Communications Technologies
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30168496

Document type: Journal Article
Collections: Faculty of Science, Engineering and Built Environment
School of Information Technology
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