Comparison Study on Wavelet based Spectrum Sensing in Cognitive Radio

Abstract: The growing demand of wireless applications has put a lot of constraints on the usage of available radio spectrum which is limited and precious resource. However, a fixed spectrum assignment has lead to under utilisation of spectrum as a great portion of licensed spectrum is not effectively utilised. Cognitive radio is a promising technology which provides a novel way to improve utilisation efficiency of available electromagnetic spectrum. Cognitive radio (CR) is a form of wireless communication in which a transceiver can intelligently detect which communication channels are in use and which are not, and instantly move into vacant channels while avoiding occupied ones. This optimizes the use of available radio-frequency (RF) spectrum while minimizing interference to other users. Spectrum sensing helps to detect the spectrum holes (underutilized bands of the spectrum) providing high spectral resolution capability. In this paper a comparative study is being taken in account for all kind of Spectrum Sensing in Cognitive Radio techniques introduced till now, specifically based on wavelet transform.

Keywords: Cognitive radio, spectrum sensing, energy detection, wavelet transform, Edge Detection.