There is an explosion in the field of communication technology today with the advent of numerous services being offered by various vendors. The available spectrum today is very limited and highly congested. Moreover, static allocation and assignment to a particular party leads to inefficient usage as it cannot be put to use incessantly. Also, the allocation is made for a specific technology and henceforth companies cannot utilize it for new services or techniques. Cognitive Radio is an upcoming area of research which addresses these concerns. Cognitive Radio makes use of Dynamic Spectrum Access wherein the complete spectrum is used by different users as and when they are available. This requires a spectrum sensing to detect available parts of the spectrum. This paper explores Simulink based Energy Detection which is a method under spectrum sensing and compares its performance with cyclostationary method under the high noise scenario. The research work also compares the performance of the system under various noise models such as Gaussian, Rayleigh and Rician.
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