Ensemble Classifier Based Spectrum Sensing in Cognitive Radio Networks

Algorithm 1

Dataset generation algorithm.

1: Iterations = 250

2: SNR value from -5dB to -15dB

3: ModType = BPSK (It stores the modulation type. It can have one of the four values BPSK, QPSK, 16-QAM and 64-QAM).

4: Generate OFDM signal

(i) T = OFDM(ModType)

(ii) S = Power Adjustment(T, SNR value) + WGN

(iii) Assign Signal label

5: Generate Noise

(i) N = WGN

(ii) Assign Noise label

6: Dataset = concatenate(Dataset, S, N)

7: Update ModType

8: Until all ModTypes go to step 4

9: Update SNR value

10: Until all SNR values go to step 3

11: Iterations = Iterations - 1

12: Go to step 2 if iterations 0