A Fuzzy Approach to Decision Fusion in Cognitive Radio

Spectrum sensing is an important task to be carried out by a cognitive radio (CR) to locate the spectrum holes. Distributed spectrum sensing is one of the solutions to overcome the issues generated due to fading and shadowing. In this paper we propose a fuzzy based fusion rule which consider received energy and SNR of the neighboring nodes along with its own parameters to make a decision. We have used a simulation setup that models data transmission through a Rayleigh channel with AWGN. Spectrum sensing is done through energy detection. Performance of proposed fusion rule is analyzed at varying values of SNR and it is compared with fusion rules such as ‘AND’ and ‘OR’. Fuzzy rule has shown a better performance under probability of detection and probability false alarm. But the time consumption is slightly high for the proposed method.