A Novel Cooperative Spectrum Sensing Scheme Based on Fuzzy Integral Theory in Cognitive Radio Networks

As the first step in the basic cognitive cycle, spectrum sensing is a vital part of cognitive radio to become reliant and swift. And due to excellent detection performance, cooperative spectrum sensing has been applied more and more frequently. However, in cooperative spectrum sensing, the detection results of the secondary users (SUs) have a great degree of uncertainty. In this paper, in order to reduce the impact of the uncertainty problem and improve the performance of detection, we provide a novel cooperative spectrum sensing scheme based on fuzzy integral theory, in which the reliability of local spectrum sensing is taken into account in the final decision whether primary user (PU) is present or not and the optimization method is used to find the optimal fuzzy measures. Moreover, simulation results show the efficiency of the proposed scheme.