Bridging the Sampling Distribution Shift in Radio Map Estimation: A Trajectory-Aware Paradigm 事件

Bridging the Sampling Distribution Shift in Radio Map Estimation: A Trajectory-Aware Paradigm arXiv:2605.28234v1 Announce Type: new Abstract: Learning-based radio map estimation (RME) plays a critical role in UAV-assisted wireless sensing, enabling tasks such as coverage prediction and network optimization. Most current methods assume an independently and identically distributed (i.i.d.) training and testing setting based on random sampling. However, practical UAV measurements are collected seq