Maximum-average Consensus Based Unfixed Cluster Cooperative Spectrum Sensing in Cognitive Radio Systems

摘要

In this paper, a maximum-average consensus based unfixed cluster cooperative spectrum sensing algorithm is proposed to deal with the problem that the sensing performance will be degraded when the channel experiences fading and shadowing. In this algorithm, by selecting the cluster head to collect its ambient energy information where is far from the secondary user, the proposed method can exploit sensing nodes space diversity so that the detection performance can be obviously improved. Simulations are conducted to show the performance of the proposed algorithm.