AI RESEARCH
PathFinder: Advancing Path Loss Prediction for Single-to-Multi-Transmitter Scenario
arXiv CS.AI
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ArXi:2512.14150v3 Announce Type: replace-cross Radio path loss prediction (RPP) is critical for optimizing 5G networks and enabling IoT, smart city, and similar applications. However, current deep learning-based RPP methods lack proactive environmental modeling, struggle with realistic multi-transmitter scenarios, and generalize poorly under distribution shifts, particularly when