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

Algorithm 1

Data Collection Process for training the proposed learning model.

01 Procedure Create Datasets (Energy, Distance, Duty-Cycles, Time Period)

02  For SNR =-20 dB to +20 Db

03    Create PU_SNR_Signal= AWGN+ data signal

04 End

05 For i=1 to N do//where N = size of the data

06    PU_Signal(i) = Data

07 End for

08 Return (PU_signal(i)