Changes between Version 9 and Version 10 of Tutorials/Digital Twins/Geo2Sig Map Getting Started

Timestamp:

Jan 26, 2026, 6:53:06 AM (2 weeks ago)

Author:

srivera2

Comment:

—

Tutorials/Digital Twins/Geo2Sig Map Getting Started

@@ -13 +13 @@
 * Building height calibration using Digital Elevation Models (DEMs)
 
-This drastically improves the accuracy of the environment being processed by the ML-based Propagation Model or a ray tracer of your choice. Throughout the following notebook examples, we utilize Sionna RT. This package is open-source and highly accurate for generating coverage maps. If you are unfamiliar with Sionna RT, feel free to read Nvidia's [https://arxiv.org/abs/2504.21719 Technical Report] to better understand how it works. Tutorials for Sionna can be found [here https://nvlabs.github.io/sionna/rt/tutorials.html].
+This drastically improves the accuracy of the environment being processed by the ML-based Propagation Model or a ray tracer of your choice. Throughout our Jupyter Notebook examples, we utilize Sionna RT. This package is open-source and popular for creating coverage predictions. If you are unfamiliar with Sionna RT, feel free to read Nvidia's [https://arxiv.org/abs/2504.21719 Technical Report] to better understand how it works. Tutorials for Sionna can be found [https://nvlabs.github.io/sionna/rt/tutorials.html here].
 
 === Prerequisites ===
@@ -68 +68 @@
 === Generating a Coverage Map with Sionna RT ===
 
-=== Generating a Coverage Map using Cascaded U-Net Model ===
+This tutorial follows [https://github.com/functions-lab/geo2sigmap/tree/main/package this README] and [https://github.com/functions-lab/geo2sigmap/blob/main/research/examples/1_sionna_coverage_map.ipynb this tutorial]. Feel free to reference either directly if you require custom modifications.
 
 ==== Cite ====
+
+If you're able to use the tool as a part of your research, please use the following citation:
+
+@inproceedings{li2024geo2sigmap,
+  title={Geo2SigMap: High-fidelity RF signal mapping using geographic databases},
+  author={Li, Yiming and Li, Zeyu and Gao, Zhihui and Chen, Tingjun},
+  booktitle={Proc. IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)},
+  year={2024}
+}