LAETwin-XL Dataset

LAETwin-XL Dataset provides near-field XL-MIMO channel data generated across low-altitude scenarios in different cities. The dataset is produced by a digital twin and Sionna RT-based simulation toolchain, which constructs 3D urban environments, simulates UAV trajectories, and performs per-antenna ray tracing to generate high-fidelity XL-MIMO channel realizations.

The dataset is designed to support research on low-altitude XL-MIMO communications, near-field channel modeling, channel generation, channel extrapolation, beam management, and wireless foundation models.

This dataset is associated with the following paper:

M. Li, Y. Han, J. Tian, C.-K. Wen, and S. Jin, “Digital Twin-Based Channel Generation Toolchain and Foundation Model for Low-Altitude XL-MIMO,” IEEE Journal of Selected Topics in Signal Processing, early access, 2026, doi: 10.1109/JSTSP.2026.3705369.

Citation

@article{2026DigitalTwinXLMIMO,
author  = {M. Li and Y. Han and J. Tian and C.-K. Wen and S. Jin},
title   = {Digital Twin-Based Channel Generation Toolchain and Foundation Model for Low-Altitude {XL-MIMO}},
journal = {IEEE Journal of Selected Topics in Signal Processing},
year    = {2026},
note    = {early access},
doi     = {10.1109/JSTSP.2026.3705369}
}