Abstract

The limited available spectrum and the inefficiency in the spectrum usage necessitate a new communication technology, referred to as cognitive radio (CR) networks. The important functionality of Cognitive Radio (CR) is spectrum sensing in which accuracy and speed of estimation prove to be the key indicators to select the appropriate spectrum sensing technique. Spectrum sensing helps to detect the spectrum holes providing high spectral resolution capability. It is one of the most challenging issues in cognitive radio systems. In this paper, a survey of spectrum sensing methodologies for cognitive radio is presented. Various aspects of spectrum sensing problem are studied from a cognitive radio perspective. The Wavelet Edge Detection is one of the most widely used Spectrum Sensing techniques. This technique observes the spatial distribution of spectral data at multiple resolutions.

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