Ming-Kun Lu

Model-Aided Learning for Sparse Received Signal Strength Indicator Radio Map Prediction and Wireless Signal Management in Internet of Things Environments

Results show that the proposed method consistently outperforms classical path-loss modeling, interpolation, Kriging, and encoder–decoder baselines, especially when only a small fraction of measurement locations is available, support propagation-prior-guided model-aided learning as a practical approach for low-cost IoT radio-map construction and wireless signal management.