Energy Consumption Analysis of K Rank Fusion Detection Under Noise Uncertainty

In cognitive unlimited power, single-user spectrum sensing due to environmental impact and hardware factors has been difficult to meet its quasi-conformity. To solve this problem, multi-user spectrum sensing technology has been proposed. However, most of the current literature only focuses on improving the detection performance of the system, and ignores the system energy consumed by processing data in the process of cooperative sensing. Therefore, this paper analyzes the energy consumption in spectrum sensing. In the case of combining noise uncertainty, the system energy is studied based on the K rank fusion rule in the hard fusion criterion. Through experimental simulation, the energy consumed by the system is reduced as the noise uncertainty is reduced.