CR network performance metrics analysis under conventional and adaptive theory

Abstract

Spectrum sensing is important step for better utilization of unused frequency band in cognitive radio technology. In spectrum sensing, threshold determination plays the key role. In this paper, we analyze the performance metrics of cognitive radio network under conventional threshold and adaptive threshold. Conventional theory considers only one metric at a time i.e. either probability of false alarm or probability of detection for threshold determination. Adaptive threshold tries to determine the threshold that maximizes the probability of detection simultaneously minimizing the probability of false alarm. This paper also analyzes the impact of spectrum utilization factor on the performance metrics.