SIGNAL DETECTION FOR SPECTRUM SENSING Spectrum sensing is a critical functionality in cognitive radio communications as it must be performed before allowing unlicensed users to access a vacant licensed band. Energy detector is also known as radiome

In this paper, we analyze the performance of spectrum sensing based on energy detection. We do not assume the exact noise variance is known a priori. Instead, an estimated noise variance is used to calculate the threshold used in the spectrum

Matlab Code for Cognitive radio energy detection method using reinforcement learning

poster: that describe the proposed method of reduce energy consumption in spectrum sensing cognitive radio.