A Generative Flow Network framework with experience replay, exploratory policy, and physics masking samples ray paths for radio propagation up to 100x faster than exhaustive search on idealized scenarios.
In: 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall), pp
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Transform-Invariant Generative Ray Path Sampling for Efficient Radio Propagation Modeling
A Generative Flow Network framework with experience replay, exploratory policy, and physics masking samples ray paths for radio propagation up to 100x faster than exhaustive search on idealized scenarios.