Optimisation of cooperative spectrum sensing via optimal power allocation in cognitive radio networks

To detect the presence of primary users, spectrum sensing is considered as one of the most important and basic functions of cognitive radio. To improve the detection probability in spectrum sensing, this study mainly investigates the effect of channel gain and signal-to-noise ratio to secondary users (SUs) cooperation in weighted combining energy detection. In particular, with the objective to maximise the detection probability, optimal linear combining weights are derived as well as optimal transmit power of each SUs for sensing data transmission from the SUs to the fusion centre. Simulation results indicate that the detection probability can be improved by the presented scheme and the performance of the proposed method outperforms some recent works detection.