Cross entropy based spectrum sensing

Abstract

In this paper, we propose a spectrum sensing method by exploiting the cross entropy. Spectrum sensing is a critical step for Cognitive Radio (CR) to have a successful communication. Intensive interests have been paid to the improvement of spectrum sensing. However, the relationship of previous and current detected data sets of Primary User (PU) has not been considered by most of the spectrum sensing methods. We propose cross entropy based spectrum sensing to scrutinize this relationship. As cross entropy based spectrum sensing has taken extra information into account, its ability to detect PU signal is strengthened and robust, which leads to a superior spectrum sensing performance. The simulation results have validated this point.