Research Article
5G Cognitive Radio Networks Using Reliable Hybrid Deep Learning Based on Spectrum Sensing
Table 10
Performance analysis of the different algorithms at 22–1100 MHz and low SNR (−20 db to 0 db).
| Sl. no. | Algorithm details | Samples ( samples) | Performance metrics | Sensing accuracy | Precision | Recall | | |
| 01 | LSTM-SS | | 0.761 | 0.711 | 0.71 | 0.1012 | 0.1002 | 02 | PALM-SS | | | | | | 03 | Hybrid ANN-SS | 0.742 | 0.73 | 0.732 | 0.073 | 0.0723 | 04 | Normal energy detectors-SS | 0.721 | 0.71 | 0.723 | 0.087 | 0.087 | 05 | RF-SS | 0.782 | 0.762 | 0.78 | 0.086 | 0.0864 | 06 | Proposed scheme | 0.8 | 0.82 | 0.812 | 0.087 | 0.081 |
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