A new cooperative spectrum sensing algorithm for cognitive radio networks
Lei Zhang, Xia Shuquan · 2009
Spectrum sensing is a critical phase in building a cognitive radio network. However, when the number of cognitive user is very large, the bandwidth for reporting cognitive users' sensing results will be insufficient. In this paper, we propose a new cooperative spectrum sensing algorithm to alleviate the bandwidth problem of reporting channel. Compared with conventional method, only the cognitive users with reliable information are allowed to report their sensing results. When no user is reliable, only the cognitive user with highest reputation will report its sensing result. Simulation results show that our algorithm achieves better sensing performance and the average number of sensing bits decreases greatly under AWGN channel.