Implementation of an adaptive spectrum sensing technique in cognitive radio networks

Cognitive radio techniques provide the capability to use or share the spectrum in an opportunistic manner. The major functions of cognitive radio include spectrum sensing, spectrum management, spectrum mobility and spectrum sharing. Spectrum sensing is the primary technique which is used by all the Cognitive radio users to harvest the advantage of Cognitive radio technique. In Spectrum sensing various popular methods have been already proposed and studied exhaustively by the CR researchers. In this paper spectrum sensing methods such as Eigen value based detection, energy detection and matched filter detection are implemented. All the above techniques have their own pros and cons. The main aim of this work is to classify the techniques based on the key parameters such as probability of detection, probability of false alarm and signal to noise ratio, to identify the adaptive threshold for each technique, implement and evaluate an adaptive sensing technique using MATLAB.