Cooperative Spectrum Sensing in Cognitive Radio Networks with Weighted Decision Fusion Schemes

In cognitive radio networks, joint optimization of sensing time and cooperative fusion scheme has been studied in the past in terms of sensing-throughput tradeoff design. In this paper, different from previous studies, we consider the case that the secondary users have different detection signal-to-noise ratios (SNRs) and their decisions are weighted based on the likelihood-ratio test at the fusion center. We consider three scenarios. In Scenario I, we optimize individual secondary users´ thresholds together with the fusion rule´s threshold at the fusion center. In Scenario II, all the secondary users´ thresholds are constrained to be the same and we seek the optimal threshold jointly with the fusion rule´s threshold at the fusion center. In Scenario III, each secondary user computes its own threshold while the fusion center optimizes the fusion rule´s threshold based on the secondary users´ threshold results. Solutions are provided for the three different scenarios and computer simulations are presented to compare their performances.