Sensing threshold adaptation based on partial channel state information for energy detection in cognitive radio networks

Abstract

The spectrum sensing methods have been incorporated in an essence to fulfill the sensing requirements associated with the detection of primary user in cognitive radio (CR) networks. Energy detection (ED) is the simplest and most commonly employed method to sense the licensed spectrum so that secondary user can make proficient use of it. The conventional energy detector has predefined value of sensing threshold due to which its targeted performance deteriorates considerably with noise uncertainty under severe fading environment at low SNR province. In this paper, we have proposed a novel approach for the adaptation of sensing threshold based on the imperfect knowledge of channel state information (CSI) so that it must be chosen approximately to meet tradeoff between probability of detection and false alarm probability under severe fading. The simulated results are presented to validate that proposed scheme is more robust against noise vagueness. We have compared the performance efficiency of proposed methodology with imperfect CSI, the conventional methodology with full CSI and conventional scheme with imperfect CSI. It has shown that the proposed scheme significantly outperforms the conventional schemes.