Efficient spectrum sensing using neural network in comparison with the energy detector-based sensing.

Autor: Kiran, Kondapalli Sai, Bharathi, P. Shyamala
Předmět:
Zdroj: AIP Conference Proceedings; 2024, Vol. 2871 Issue 1, p1-8, 8p
Abstrakt: Rather of relying on energy detectors, this study aims to provide efficient spectrum sensing by means of neural networks. Topics and procedures Twenty samples were taken from each group to examine the effectiveness of spectrum sensing. In contrast to Group 1, which relied on an experimental energy detector method using an 80% G power, Group 2 used a unique neural network spectrum sensing approach. In terms of sensing performance at low SNR (-30dB), the Energy Detector outperforms the Novel Neural Network (P0.05) by a significant margin of 0.044. Overall, the findings would indicate that the neural network's sensing probability is very high. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index