Performance Analysis of Energy and Cyclostationary based detection in Cognitive Radio Networks

Due to increase in innovations in communication and mobile technology new wireless devices, applications and services have evolved. The mobile data traffic is doubling every year which leads to demand for huge spectrum. The scarcity, expensiveness and fixed spectrum allocation policy will lead to the deficit in years ahead. The license holders of the spectrum are not utilizing it fully and efficiently, so there are times when spectrum is not being used and this is an opportunity wherein other users can use it to meet growing demands. This is called Cognitive Radio (CR). The information about availability of radio spectrum is the key parameter of functioning of cognitive radio. This paper describes the spaces in radio spectrum, fundamentals of cognitive radio technology and cognitive radio cycle. We compare the performance of energy and cyclostationary based detection method under AWGN and Rayleigh fading channel condition.