Research Article
A Novel Approach Based on Generative Adversarial Network for Signal Enhancement in Wireless Communications
Table 2
RMSE for various SNR in 16QAM scene.
| Methods | -8 | -6 | -4 | -2 | 0 | 2 | 4 | 6 |
| DAE-based | 0.2960 | 0.2430 | 0.2000 | 0.1659 | 0.1395 | 0.1195 | 0.1047 | 0.0940 | CNN-based | 0.2957 | 0.2430 | 0.2004 | 0.1665 | 0.1402 | 0.1205 | 0.1057 | 0.0953 | GAN-based | 0.2893 | 0.2383 | 0.1972 | 0.1648 | 0.1399 | 0.1212 | 0.1076 | 0.0980 | Proposed | 0.2393 | 0.1985 | 0.1662 | 0.1415 | 0.1229 | 0.1093 | 0.0996 | 0.0929 |
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