Aggregation Node Selection for Cooperative Spectrum Sensing in Cognitive Radio Networks

Many cooperative spectrum sensing schemes in cognitive radio networks have been proposed. However, aggregation node selection was rarely considered which can improve the performance of cooperative spectrum sensing. We consider a cognitive radio network consisting of a primary user and multiple cognitive users. One of the cognitive users will be selected as the aggregation node which directly receives the primary signal and indirectly collects the primary signal relayed by the other cognitive users. The signal-to-noise ratios of the received primary signal at different cognitive users usually are not identical because the channel gain from one cognitive user to another cognitive user is different. Thus, an aggregation node selection scheme is proposed in order to achieve better detection performance. The detection probability and false alarm probability are derived and simulated. The results show that for better detection performance, the cognitive user with higher received signal-to-noise-ratio should be selected as the aggregation node.