Cooperative Spectrum Sensing with Data Mining of Multiple Users’ Historical Sensing Data ABSTRACT: • The current cooperative spectrum sensing still can not effectively exploit the temporal correlations among sensing data, especially the correlations between the current sensing data and the historical data. • This paper uses sticky hierarchical Dirichlet process-hidden Markov model to exploit the historical sensing data of multiple users, and classifies the historical sensing data into groups according to their latent spectrum states. • The proposed spectrum sensing algorithm can fuse the historical sensing data into prior knowledge, which can be used to improve the accuracy in spectrum decision. • Furthermore, a rejection...