Spectrum sensing approaches in cognitive radio network

Abstract

Due to fixed spectrum allocation phenomenon (FSA), spectrum agreement failed to satisfy the demanded of new applications. However, cognitive radio is approached for utilizing the spectrum and for overcoming resources deficiency. Day by day, number of radio spectrum users is increasing as life tends towards new technologies in all sectors; so, even those users of licensed band are demanding larger radio spectrum. Users may get assigned into other bands to balance the radio spectrum congestion. In this paper, radio spectrum is sensed for voids detection and secondary user assignment. Two approaches are discussed for spectrum sensing, more likely, Underlay and Interweave spectrum allocation. This paper argues the performance metrics of each in terms of queuing time minimization and throughput enhancement.