Optimization of Cooperative Spectrum Sensing and Implementation on Software Defined Radios
Reliable detection of primary user activity by spectrum sensing is a crucial issue of cognitive radio systems. The cooperative spectrum sensing is to combine the detection results of multiple cognitive radios in order to maximize the probability of detecting unused spectrum while meeting a required reliability of detecting primary user activity. In this paper, a Kullback-Leibler distance-based optimization approach for the local decision thresholds of cooperative spectrum sensing is proposed. It is both computationally efficient and scalable with the number of cognitive radios.