Analysis of Spectrum Sensing in Cognitive Radio Network

Abstract

Phenomenally, the using of wide spectrum of wireless-network communications is increasing day by day which introduces efficiently utilization of unused spectrum. The Cognitive Radio Network (CRN) assumed one of the best technologies which most efficiently use the unused spectrum. Reducing the unused spectrum and increasing the communication quality both are the main reasons for using CRN. This project is elaborately described two case null hypothesis ( for no primary user and hypothesis one ( ) for primary user available in the spectrum and also goal to detect the probability of detection ( ) and the probability of false alarm ( ) and another thing is increasing and decreeing . In this project, we have detected by using the given in Matlab. We have compared between analytical and simulation values and observed that stimulated is very closer to theoretical value of .Individual spectrum sensing by CR may not accurate due to fading and shadowing effect It avoids the harmful interference with licensed or primary user need to take much number of sample and little bit more false alarm. Cooperative sensing is also an effective and attractive approach to combat multiple fading and receiver's uncertainty and hidden primary problem.