5G Cognitive Radio Networks Using Reliable Hybrid Deep Learning Based on Spectrum Sensing

Table 8

Performance analysis of the different algorithms at 52–2,200 MHz and low SNR (−20 db to 0 db).

Sl. no.	Algorithm details	Samples ( samples)	Performance metrics
			Sensing accuracy	Precision	Recall
01	LSTM-SS		0.965	0.955	0.950	0.1012	0.1002
02	PALM-SS		0.942	0.930	0.932	0.093	0.0923
03	Hybrid ANN-SS		0.921	0.910	0.923	0.089	0.087
04	Normal energy detectors-SS		0.782	0.762	0.780	0.086	0.0864
05	RF-SS		0.80	0.82	0.812	0.087	0.085
06	Proposed scheme		0.982	0.973	0.970	0.1012	0.1010