CDiT uses a diffusion transformer conditioned on position to generate high-fidelity THz channels in sparse beamspace under the hybrid planar-spherical wave model, outperforming benchmarks on realistic datasets.
Three-dimensional end-to-end modeling and analysis for graphene-enabled terahertz band communications,
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CDiT: Conditional Diffusion Transformer for Geometry-Aware Terahertz Cross Far- and Near-Field Channel Generation
CDiT uses a diffusion transformer conditioned on position to generate high-fidelity THz channels in sparse beamspace under the hybrid planar-spherical wave model, outperforming benchmarks on realistic datasets.