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RanNet: Learning Residual-Attention Structure in CNNs for Automatic Modulation Classification
journal contribution
posted on 2022-06-01, 00:00 authored by Thien Huynh-The, Quoc-Viet Pham, Toan-Van Nguyen, Thanh Thi NguyenThanh Thi Nguyen, Daniel Benevides da Costa, Dong-Seong KimRanNet: Learning Residual-Attention Structure in CNNs for Automatic Modulation Classification
History
Journal
IEEE Wireless Communications LettersVolume
11Issue
6Pagination
1 - 5Publisher
Institute of Electrical and Electronics EngineersLocation
Piscataway, N.J.Publisher DOI
ISSN
2162-2337eISSN
2162-2345Language
engPublication classification
C1 Refereed article in a scholarly journalUsage metrics
Keywords
Automatic modulation classificationConvolutional neural networkResidual-attention connection structureScience & TechnologyTechnologyComputer Science, Information SystemsEngineering, Electrical & ElectronicTelecommunicationsComputer ScienceEngineeringModulationFeature extractionConvolutionWireless communicationReceiversComputer architectureSimulationDistributed Computing
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