Machine Learning-Enabled Optimization for Next-Generation Wireless Networks: A Survey of Intelligent Resource Management in RIS-Assisted Systems
A substantive technical treatment of Explainable AI for RIS scenarios is provided, detailing how SHAP value attribution, Grad-CAM saliency mapping over RIS element indices, and Transformer attention maps can be applied to interpret black-box DRL policies and CNN-based models used for continuous phase-shift and beamform...