Optimization in Cooperative Spectrum Sensing

Abstract

An encouraging technology that grabs the clash between spectrum scarcity and underutilization is cognitive radio (CR), spectrum sensing is the main task of cognitive radio. Cooperative spectrum sensing overcome the adverse effect of shadowing and multipath. In this paper we are focusing on the optimization of cooperative spectrum sensing. Optimization strategy is proposed in order to optimize the overall performance by variation of SNR. In this technique we consider three parameters, spectrum sensing technique used locally, SNR and the number of users. Decision made by all the users is sent to the fusion center which estimate the final presence or absence of primary user.

An optimal and adaptive double threshold-based approach to minimize error probability for spectrum sensing at low SNR regime

“…Apart from adaptive and double threshold-based detection, further improvement in the sensing performance is achieved through optimization. A lot of the existing optimization techniques focus on the cooperative sensing methods via energy detection (Verma and Singh 2015 ; Na 2017 ; Mamisi and Sundru 2018 ; Mabrook et al 2020 , Suneel and Shiyamala 2021 ). A method based on the cooperative spectrum sensing where each CR incorporates and improved energy detector with multiple antennas for Rayleigh fading channels (Verma and Singh 2015 ).…”

“…A method based on the cooperative spectrum sensing where each CR incorporates and improved energy detector with multiple antennas for Rayleigh fading channels (Verma and Singh 2015 ). The authors in Na ( 2017 ) have given an adaptive Neuro-Fuzzy interference system (ANFIS) algorithm for making to detect the optimal and accurate free channels under fading and shadowing conditions. Similarly, in Mamisi and Sundru ( 2018 ) the power of all the symbols collected near the spectrum is optimized using peak detection technique which reduces the power caused due to unwanted or noisy data.…”