Performance Analysis of Cognitive Radio on licensed Low Power Wide Area Network for IoT applications

This paper presents an energy detection-based spectrum sensing approach implemented on the licensed Low Power Wide Area Network (LPWAN) i.e. Narrow Band-IoT communication model. Energy detection-based spectrum sensing depends upon the perceived signal strength of a primary user. Current work utilizes the computed Primary User’s SNR present in NB-IoT network to evaluate the probability of detection at a given sampling time (N_S), distance and defined probability of false alarm (P_FA). Effect of multiple relays in spectrum detection performance is also investigated. Furthermore, for optimal energy detection relay and non-relay-based NB-IoT models are compared and analyzed using MATLAB. Performance evaluation of spectrum detection in presence of Noise uncertainty and Dynamic threshold for differing values of distance, sensing time (N_S) and SNR in terms of Probability of False Alarm (P_FA) and Probability of Detection (P_D) has also been investigated.