A Comprehensive Analysis of Energy Efficiency Using Cooperative Spectrum Sensing Network

The proposed cooperative spectrum sensing (CSS) network has promising characteristics that might increase detection performance. This study focuses on identifying unknown signals in a Rayleigh fading environment using an improved energy detector (IED). The suggested network is made up of numerous cognitive radio (CR) nodes, with a number of antennas installed at each CR node and selection combining (SC) used to identify the maximum detection probability. Furthermore, the activity of the primary user (PU) is completed at the fusion centre utilizing fusion rules (FC). The closed-form of missing detection and false alarm probability was initially given elegantly. A quantitative evaluation is presented to estimate average throughput and energy efficiency and overall error rate performance is examined for single and multiple antenna situations. Simulation test-bed is developed in MATLAB, and simulations are used to evaluate throughput and energy efficiency performance with the strong backing of mathematical analysis. Finally, when compared to traditional schemes, the performance of the suggested scheme is enhanced, with OR-Rule outperforming AND-Rule.