Effect of dynamic threshold & noise uncertainty in energy detection spectrum sensing technique for cognitive radio systems

Cognitive Radio has arrested the attention of researchers for the simple reason of optimum utilization of available spectrum of wireless communication in the recent scenario. The spectrum sensing by energy detection is one of the techniques for detecting spectrum holes. This paper revisits the existing energy detection technique. The influence of dynamic threshold and noise uncertainty factor on performance parameters of a communication system namely: probability of detection and probability of false alarm is studied and an attempt has been made to deduce significance of their ratio on the sensing technique. An empirical relationship between the sampling number and SNR is also proposed based on the computations and tabulation using simulated results through MATLAB.