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Pilot-driven deep learning based RIS-assisted beamforming for secrecy rate maximization
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DOI：10.1016/j.aei.2026.104352.png)
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Abstract
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• PilotBeamNet enables end-to-end secure RIS beamforming from uplink pilots without explicit channel estimation. • CNN-LSTM-attention predicts BS beamforming and quantized RIS phases with low latency. • Outperforms AO/MLP across SNRs and RIS sizes and remains robust to quantization.
Keywords:
Deep learning
Physical-layer security
Reconfigurable intelligent surfaces
Beamforming
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