Performance analysis of cooperative spectrum sensing technique in cognitive radio network

Abstract

Cognitive Radio (CR) is a rapidly growing technology that can be employed to effectively utilize the radio spectrum. Detection accuracy of the CR user is compromised when a network is under degrading conditions like fading and shadowing effects. Cooperative spectrum sensing (CSS) has been extensively employed to overcome these issues. In CSS, all secondary users (SUs) communicate with the fusion center (FC) to share the PU information. Hard fusion schemes are applied to make a correct decision about PU presence at the FC, however, such approaches lack reliable decision making. Hence there is a need to construct more accurate and reliable fusion schemes. In this paper, a neural network (NN) based decision fusion scheme at the FC is used to construct a reliable decision. It has been evaluated through simulation results that the proposed fusion scheme sensing accuracy is much better as compared to conventional fusion schemes and other state-of- the- art schemes proposed in the literature. Further, proposed fusion scheme is tested using clustering approach to make it more reliable and accurate. newline