Energy Detection Based Spectrum Sensing for Sensing Error Minimization in Cognitive Radio Networks

Abstract

In this paper, we investigate an optimization of thresholdlevel with energy detection to improve the spectrum sensingperformance. Determining threshold level to minimize spectrumsensing error both reduces collision probability with primary userand enhances usage level of vacant spectrum, resulting inimproving total spectrum efficiency. However, when determiningthreshold level, spectrum sensing constraint should also be satisfiedsince it guarantees minimum required protection level of primaryuser and usage level of vacant spectrum. To minimize spectrumsensing error for given spectrum sensing constraint, we derive anoptimal adaptive threshold level by utilizing the spectrum sensingerror function and constraint which is given by inequality condition.Simulation results show that the proposed scheme provides betterspectrum sensing performance compared to conventional schemes.