A controlled replication benchmark of nine AMR models on RadioML-2016A, plus experiments showing that moderate SNR training ranges and added recurrent layers can improve accuracy.
Lightweight deep learning model for automatic modulation classification in cognitive radio networks
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AI/ML-Based Automatic Modulation Recognition: Recent Trends and Future Possibilities
A controlled replication benchmark of nine AMR models on RadioML-2016A, plus experiments showing that moderate SNR training ranges and added recurrent layers can improve accuracy.