OctCGS uses multi-resolution octree partitioning and tree attention on Gaussian primitives to explicitly model multi-order wireless propagation, reporting 2.99 dB MAE and 0.065 NMAE on simulated CKM benchmarks.
F4-CKM: Learning channel knowledge map with radio frequency radiance field rendering,
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OctCGS: Octree-Contextual Gaussian Splatting with Explicit Multi-Order Propagation Modeling for Channel Knowledge Map Construction
OctCGS uses multi-resolution octree partitioning and tree attention on Gaussian primitives to explicitly model multi-order wireless propagation, reporting 2.99 dB MAE and 0.065 NMAE on simulated CKM benchmarks.