Open access
2026
HY-CNN-GRU: A Universal Deep Learning Framework for Robust Channel Estimation Across Heterogeneous Wireless Environments in 6G NOMA Systems
This paper proposes a novel hybrid Convolutional Neural Network-Gated Recurrent Unit (CNN-GRU) architecture for accurate channel state estimation in 2-user Non-Orthogonal Multiple Access (NOMA) systems operating under diverse wireless propagation environments. The proposed model integrates convolutional layers for effe...
S. Heshmat, Sara Khaled, Ahmed Ezzat et al.
· IEEE Access · 0 citations