Implementation of Low-cost Novel Rtl Modeling of Spectrum Sensing in Cognitive Radio Networks

Nowadays the demand of the wireless application has grown from day to day life. The Demand of wireless applications has put a many of constraints on the use of available radio spectrum which is a limited and precious resource. The static spectrum assignment leads to underutilization of the spectrum as a great portion of the licensed spectrum is not efficiently utilized. Cognitive radio (CR) is encouraging technology which provides a novel way to enhance the spectrum utilization efficiency of available electromagnetic (EM) spectrum. Spectrum sensing helps to detect the spectrum holes by providing high spectral resolution capability. In this paper, finite impulse response filter based Spectrum Sensing in Cognitive Radio Networks (FIR-SS-CRN) is introduced to sensing the spectrum efficiently in the cognitive radio network. In FPGA implementation, LUT, flip flop, and slices will be reduced in FIR-SS-CRN method compared to existing method.