Implementation of Various Spectrum Sensing Algorithms in Cognitive Radio Network

Abstract

Spectrum sensing is a crucial task in Cognitive Radio networks. In this network some frequency bands are allocated for primary users. Secondary user can detect the unlicensed spectrum bands which are called white spaces without disturbing the primary user. The Common control channel, Channel estimation, Joint sensing and spectrum access, the location information are the other challenges of CR networks. To reuse the spectrum, spectrum sensing is necessary and several techniques available for spectrum sensing based on band of interest [2]. In this paper, Basis Pursuit(BP) and Orthogonal Matching Pursuit(OMP) algorithms are used for signal reconstruction[1]. All the simulations are carried out using MATLAB.