A Performance Comparison of four Moderns Spectrum Sensing techniques under Noise Uncertainty and different User Accessing Time

Abstract

Uncertainty of Noise is a strong negative effect on a communication channel, in which, the performance of spectrum sensing will drop. In this paper, we investigate the performance of several modern spectrum sensing techniques in Cognitive Radio system which are proposed to address the issue of the uncertainty of noise. We consider for spectrum sensing techniques including Energy Detection Technique, Maximum Eigenvalue Detection Technique, Split-Half Spectrum Sensing Technique and Micro-slotted Dual-stage Spectrum Sensing Technique. We simulate the communication channel as stated in IEEE 802.22 Standard under uncertainty of noise at 0, 1 and 2 dB. Moreover, the effect of an active time of the primary user, which affects on the spectrum sensing performance, is taken into the account. Then, the performance of these techniques are evaluated by using three parameters; probability of detection, probability of false alarm and sensing time.