ABSTRACT
Cognitive Radio (CR) technology is one such technology which has gained popularity by increasing the opportunity of spectrum access for secondary users with wideband spectrum sensing. The communicative preference of the wideband spectrum for the frequency-domain sparsity, a wideband spectrum sensing-(WSS) compressed sensing blueprint make the spectrum energy efficient but involves the aliasing noise in the signal and also affect the throughput of the signal. In this paper, the problem is formulated in three section: (1) sense the spectrum in a multichannel communication environment using relatively low sampling rates; (2) show the effect of throughput on low sampling rate; and (3) is to set a threshold over which the spectrum is energy efficient as well as the aliasing effect being tolerable and probability of missed detection is minimum. Based on simulation and analysis, we identified a threshold point where the signal distortion and probability of missed detections are minimum and throughput decreases on increasing sensing time
