Performance Analysis of Cooperative Spectrum Sensing Technique in Cognitive Radio with Different Fusion Rule and Technique

The spectrum sensing problem has gained new aspects with cognitive radio and opportunistic spectrum access concepts. It is one of the most challenging issues in cognitive radio systems. In cognitive radio mobile ad hoc networks (CR-MANETs), secondary users can cooperatively sense the spectrum to detect the presence of primary users. Spectrum sensing, that is, detecting the presence of the primary users in a licensed spectrum, is a fundamental problem for cognitive radio. As a result, spectrum sensing has reborn as a very active research area in recent years despite its long history. All the implementation and simulation were done in Matlab. Here we are proposing cooperative spectrum sensing with fading environment and trying to increasing detection probability and decrease false alarm. Also evaluate their performance in terms of probability of detection and false alarm. This paper is mainly divided into three parts: In first part, we are finding the probability of detection as well as probability of missed detection with respect to probability of false alarm with Rayleigh channel for cooperative spectrum sensing. Here, in this part energy detector sensing method is used because this method is having low complexity. We are also considering AWGN channel as a reference channel. In second part we are finding probability of detection with respect to probability of false alarm with different rules like AND, OR and K out of N in idle as well as in fading environment. Also I am comparing this all rules including individual detection and checking which rule give better detection probability. And finally I am comparing energy detector and match filter method with different SNR and finding that which methods give better result for detection. Index Terms—Additive white Gaussian noise (AWGN), cognitive radio(CR), cooperative spectrum sensing, Matrix Laboratory (MATLAB), probability of false alarm(Pf), probability of missed detection(Pm), Region of Convergence(ROC), signal to noise ratio (SNR), spectrum sensing.