R. Rathod

Advancing Cognitive Radio Spectrum Sensing with Deep Learning and Explainable AI: Cross-Domain Attribution Reveals SNR-Dependent Feature Bias

The growing demand for wireless spectrum has made Dynamic Spectrum Access through Cognitive Radio a necessity, its core function is spectrum sensing, remains unre-liable when traditional methods like Energy Detection face low Signal-to-Noise Ratio (SNR) environments. The proposed work presents a deep learning framework...