An ellipsoid-guided selective refinement algorithm improves radio-map fidelity in urban wireless digital twins by prioritizing refinement of a small subset of buildings using only low-fidelity models.
DeepTelecom: A digital-twin deep learning dataset for channel and MIMO applications
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Fidelity Where it Matters: Site-Specific Nonuniform Refinement for Wireless Digital Twins
An ellipsoid-guided selective refinement algorithm improves radio-map fidelity in urban wireless digital twins by prioritizing refinement of a small subset of buildings using only low-fidelity models.