Abstract
The cognitive radio (CR) networks was used for optimal detection of cooperative spectrum sensing (CSS) system given an optimized energy detector. In the case of a single user (SU) cognitive sensing, deriving the optimum p value of the improved detetor minimizes the systemtic bayes risk by a certain number of samples. In CSS, choosing the “K-out-of-N” criterion in order to explore the influence of the change in p value and K value on systematic performance. Systematic study and simulation output show that there are optimal values of K and p in the CSS networks, which makes the bayes risk value minimum. Compared with the traditional energy detection method, it was observed that the optimized energy detector obviously enhance the systematic performance.
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