GRAPHWAVE
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From Waves to Graphs: A Ray-Tracing-Inspired Neural Radio Propagation Model
Announce Type: new Abstract: Artificial intelligence-driven radio propagation models provide agile and robust solutions for mobile network operators in their effort to ensure the optimal performance of the wireless ecosystem and support its efficient expansion. In this paper, we introduce GRAPHWAVE, a neural graph-driven propagation solver hinging on the governing principles of ray tracing. The proposed model leverages a digitized version of the propagation environment to build a point cloud...