A Novel Method for Weighted Cooperative Spectrum Sensing in Cognitive Radio Networks

Considering that most existing techniques for weighted cooperative spectrum sensing have not comprehensively considered the influence of the space factor in wireless environment on the detection performance in cognitive radio systems, the authors of this paper present a novel method for improving the detection performance that combines the signal-to-noise ratio parameters and the path-loss parameters into the weights. The new technique includes the design of the formulas for weight assignment. Thus, the information of the signal-to-noise ratios and the path losses can be reasonably fused so that the mathematical model for enhancing detection performance is well established. Also, a spectrum sensing scenario in the wireless environment is simulated. By applying the randomly generated simulation parameters and their derived parameters, the simulation experiment is, respectively, performed in the environment of AWGN, Rayleigh and Nakagami wireless channels. The experimental results show that the new technique substantially improves the detection performance.