Research map / Architectures and efficiency / RNNs and normalization
Robust Non-Linear Feedback Coding via Power-Constrained Deep Learning
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add the decoder attention layer (ablation) | RNN autoencoder feedback code · AWGN, feedback noise σ₂²=0.001, 0.005, 0.01, 0.05, 0.1, and 1 | BLER: 5.25E-8 -> 8.12E-9; 2.05E-6 -> 4.63E-7; 4.19E-6 -> 3.34E-6; 7.15E-4 -> 4.46E-4; 1.97E-3 -> 1.63E-3; 1.46E-2 -> 1.32E-2 | Helped |
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