A hybrid framework with uncertainty-aware cooperative fusion for robust spectrum sensing in beyond 5G cognitive radio networks
Positive toneThis paper presents a hybrid Gated Recurrent Unit–Long Short-Term Memory–Convolutional Neural Network (GRU–LSTM–CNN) deep learning framework designed to enhance Cooperative Spectrum Sensing (CSS) in Cognitive Radio (CR) networks. The proposed architecture combines Convolutional Neural Networks (CNNs) for spatial–spectral feature extraction, Long Short-Term Memory (LSTM) units…
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