Addition of Fuzzy Logic-based Decision Making in Energy-based Spectrum Sensing Technique to Improve Detection Probability

Abstract

Everyday new applications have been created with the requirement of spectrum. Unavailability of spectrum band is not a right circumstance for the growing market. But due to the insufficient amount of band availability, CR (cognitive radio) methodology has been proposed. As per CR methodology, those applications which came under unlicensed band are suggested to use spectrum band of licensed user but after checking whether that band must be free and is not in use by licensed user or primary user. CR has some spectrum sensing techniques, which determines the vacant spectrum band and then assigned to unlicensed user or secondary user. Out of them easy to implement technique is energy-based detection (EBD) spectrum sensing technique. But EBD technique does not work better in some environment (noisy environment) therefore in order to increase the probability of detection fuzzy logic has been implemented as a decision-making technique. Addition of fuzzy logic controller with EBD technique increases the probability of detection successfully and thus improves the results.

Keywords: cognitive radio (CR), secondary users (SU), primary users (PUs), spectrum sensing, energy-based detection (EBD) technique, probability of detection (Pd), probability of false alarm (Pf), signal to noise ratio (SNR), AWGN (Additive White Gaussian Noise)