An optimal cooperative spectrum sensing scheme based on fuzzy integral theory in cognitive radio networks

In the whole working cycle of cognitive radio (CR), the primary job is to sense wireless communication environment of secondary users (SUs), therefore, spectrum sensing is the foundation and prerequisite for the application of CR. In order to get excellent detection performance, cooperative spectrum sensing has been applied widely. However, in cooperative spectrum sensing process, the detection results of the SUs have a great degree of uncertainty, leading to severe impact on the detection performances of CR. In this paper, we propose a novel cooperative spectrum sensing scheme based on fuzzy integral theory and optimization method, in which the reliability of local spectrum sensing is taken into account in the final decision whether the primary user (PU) is present or not and the optimization method is used to find the optimal fuzzy measures. Moreover, simulation results show that the proposed scheme performs better than other fusion strategies implementing in cooperative spectrum sensing scheme. Finally, almost all of the fusion strategies for cooperative spectrum sensing scheme in CR networks are discussed and analyzed.