Title: Effect of noise uncertainty during spectrum sensing for cognitive radio ad hoc networks

Authors: Debabrata Dansana; Prafulla Kumar Behera

Addresses: Department of Computer Science and Applications, Utkal University, Bhubaneswar, Odisha, India ' Department of Computer Science and Applications, Utkal University, Bhubaneswar, Odisha, India

Abstract: Cognitive radio network is a technique where underutilised licensed spectrum allows opportunistic access to unlicensed secondary users. Different spectrum sensing algorithms are used to sense the presence or absence of primary licensed users in noisy and fading channel. This paper provides a comparative analysis of different spectrum sensing algorithms for cognitive radio network based on dynamic threshold and noise uncertainty. Spectrum sensing in cognitive radio network based on fixed threshold are sensitive to noise, therefore these are not efficient enough. The use of dynamic threshold improves performance of the spectrum detection without much computational complexity. Different computer simulations are provided for the dynamic threshold with and without noise uncertainty for spectrum sensing of cognitive radio network. The performance of the spectrum sensing techniques is evaluated by receiver operating characteristics (ROC) curves over additive white Gaussian noise (AWGN) and different fading channels (Rayleigh and Nakagami-m).

Keywords: spectrum sensing; dynamic threshold; cognitive radio ad hoc network; CRAHN; fading channel; noise uncertainty; receiver operating characteristics; ROC; additive White Gaussian noise; AWGN; signal-to-noise-ratio; SNR.

DOI: 10.1504/IJDATS.2023.132560

International Journal of Data Analysis Techniques and Strategies, 2023 Vol.15 No.1/2, pp.41 - 56

Received: 24 Sep 2022
Accepted: 07 Feb 2023
Published online: 28 Jul 2023 *