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eess.SP2026
Simulation-Driven Ensemble Machine Learning for Robust and Generalizable Path Loss Prediction
Ahmed P. Mohamed, Byunghyun Lee, Yaguang Zhang +3
Machine learning has emerged as a promising approach to path loss prediction, yet its effectiveness often degrades when measurement data are scarce. To address this limitation, we…
eess.SP2026
CITYMPC: A Large-Scale Physics-Informed Benchmark and Tool for Generative Complete Multipath Wireless Channel Modeling
Ashwin Natraj Arun, David R. Nickel, Yaguang Zhang +6
Multipath wireless channels are fully characterized by multipath components (MPCs), including complex channel gain, propagation delay, angle of departure (AoD) and angle of arrival…