Sensing and Sharing of Spectrum in Cooperative Cognitive Radio Vehicular Networks Using K-tuned Classifiers and Fuzzy Logic

Abstract

This paper aims to efficiently utilize the spectrum based on sensing and sharing optimal resources like relay and power on cooperative cognitive radio in a vehicular network. Resources are allocated in the V2V environment by considering the effect of the Doppler shift. Spectrum sensing is carried out using K-tuned Nearest Neighbors algorithm, in which the K parameter is tuned to avoid misclassification-related problems that enhance the spectrum sensing. After sensing the status of the spectrum, a Fuzzy logic-based approach shares the spectrum with the help of optimized resources. Simulations are carried in different vehicle scenarios in terms of bit error rate and throughput.