| --- |
| language: |
| - en |
| license: cc-by-4.0 |
| size_categories: |
| - 10K<n<100K |
| task_categories: |
| - image-to-image |
| pretty_name: Multi-config Radiomap Dataset and Pretrained Models for U6G XL-MIMO |
| tags: |
| - wireless |
| - radiomap |
| - xl-mimo |
| - u6g |
| - beamforming |
| - benchmark |
| - signal-processing |
| --- |
| |
| # Multi-config Radiomap Dataset and Pretrained Models for U6G XL-MIMO |
|
|
| This repository provides the **public release of the Multi-config Radiomap Dataset and pretrained models** for **U6G / XL-MIMO radiomap prediction**. |
|
|
| It includes: |
| - a large-scale radiomap dataset across **800 urban scenes** |
| - multiple frequency bands and array configurations |
| - beam-map-related benchmark resources |
| - pretrained models for benchmark tasks |
|
|
| ## Links |
|
|
| - **Paper:** https://arxiv.org/abs/2603.06401 |
| - **Project Website:** https://lxj321.github.io/MulticonfigRadiomapDataset/ |
| - **Code Repository:** https://github.com/Lxj321/MulticonfigRadiomapDataset |
| - **Dataset + Pretrained Models:** this Hugging Face repository |
|
|
| ## Contents |
|
|
| ### Files in this repository |
|
|
| - `Dataset_*.zip` |
| Main dataset package, including radiomap-related data and associated resources. |
|
|
| - `Pretrained_Model_*.zip` |
| Pretrained models for benchmark tasks. |
|
|
| - `metadata.csv` |
| Lightweight metadata index for preview and quick inspection. |
|
|
| ## Dataset Summary |
|
|
| This project is designed for studying: |
| - multi-configuration radiomap prediction |
| - cross-configuration generalization |
| - cross-environment generalization |
| - beam-aware radiomap modeling |
| - sparse radiomap reconstruction |
|
|
| ### Quick facts |
|
|
| - **Scenes:** 800 |
| - **Frequency bands:** 1.8 / 2.6 / 3.5 / 4.9 / 6.7 GHz |
| - **TX antenna scale:** up to 32x32 UPA |
| - **Beam settings:** 1 / 8 / 16 / 64 beams |
|
|
| ## Visual Examples |
|
|
| Representative examples from the released dataset are shown below. |
|
|
| ### Overview |
|
|
| This figure shows an overall preview of the released data components, including the height map, ray-tracing radiomap, and configuration-only beam map. |
|
|
| <p align="center"> |
| <img src="https://raw.githubusercontent.com/Lxj321/MulticonfigRadiomapDataset/main/docs/assets/dataset/homepage_teaser.png" width="88%"> |
| </p> |
|
|
| ### Radiomap Examples |
|
|
| Representative ray-tracing radiomap examples from different scenes and configurations. |
|
|
| <p align="center"> |
| <img src="https://raw.githubusercontent.com/Lxj321/MulticonfigRadiomapDataset/main/docs/assets/dataset/radiomaps_grid.png" width="88%"> |
| </p> |
|
|
| ### Height Map Examples |
|
|
| Representative height map examples from the released urban scenes. |
|
|
| <p align="center"> |
| <img src="https://raw.githubusercontent.com/Lxj321/MulticonfigRadiomapDataset/main/docs/assets/dataset/height_maps_grid.png" width="88%"> |
| </p> |
|
|
| ### Beam Map Examples |
|
|
| Representative configuration-only beam map examples. |
|
|
| <p align="center"> |
| <img src="https://raw.githubusercontent.com/Lxj321/MulticonfigRadiomapDataset/main/docs/assets/dataset/beam_maps_grid.png" width="88%"> |
| </p> |
|
|
| ### Paired Examples |
|
|
| The following examples illustrate the correspondence among the released data components for selected scenes and transmitter configurations. |
|
|
| #### Example 1 |
|
|
| <p align="center"> |
| <img src="https://raw.githubusercontent.com/Lxj321/MulticonfigRadiomapDataset/main/docs/assets/dataset/paired_examples/u9__freq_6.7GHz_64TR_8beams_pattern_tr38901__beam07.png" width="95%"> |
| </p> |
|
|
| #### Example 2 |
|
|
| <p align="center"> |
| <img src="https://raw.githubusercontent.com/Lxj321/MulticonfigRadiomapDataset/main/docs/assets/dataset/paired_examples/u100__freq_6.7GHz_1024TR_64beams_pattern_tr38901__beam41.png" width="95%"> |
| </p> |
|
|
| #### Example 3 |
|
|
| <p align="center"> |
| <img src="https://raw.githubusercontent.com/Lxj321/MulticonfigRadiomapDataset/main/docs/assets/dataset/paired_examples/u460__freq_6.7GHz_256TR_16beams_pattern_tr38901__beam00.png" width="95%"> |
| </p> |
|
|
| #### Example 4 |
|
|
| <p align="center"> |
| <img src="https://raw.githubusercontent.com/Lxj321/MulticonfigRadiomapDataset/main/docs/assets/dataset/paired_examples/u100__freq_1.8GHz_16TR_1beams_pattern_tr38901__beam00.png" width="95%"> |
| </p> |
|
|
| #### Example 5 |
|
|
| <p align="center"> |
| <img src="https://raw.githubusercontent.com/Lxj321/MulticonfigRadiomapDataset/main/docs/assets/dataset/paired_examples/u461__freq_6.7GHz_1024TR_64beams_pattern_tr38901__beam16.png" width="95%"> |
| </p> |
|
|
| ## Intended Usage |
|
|
| This dataset is intended for: |
| - benchmark evaluation of radiomap prediction methods |
| - studying generalization across unseen array configurations |
| - studying generalization across unseen environments |
| - evaluating physics-informed features such as beam maps |
| - reproducing the results of the associated benchmark project |
|
|
| ## Download and Usage |
|
|
| Download the released zip packages from the **Files and versions** tab. |
|
|
| For code, preprocessing, training, evaluation, and benchmark usage, please refer to: |
| - **GitHub:** https://github.com/Lxj321/MulticonfigRadiomapDataset |
| - **Project Website:** https://lxj321.github.io/MulticonfigRadiomapDataset/ |
|
|
| ## Repository Structure |
|
|
| The released resources are organized around: |
| - dataset files |
| - pretrained model files |
| - project documentation |
| - benchmark code in the GitHub repository |
|
|
|
|
| ## Download and Usage |
|
|
| Download the released zip packages from the **Files and versions** tab. |
|
|
| For code, preprocessing, training, evaluation, and benchmark usage, please refer to: |
| - **GitHub:** https://github.com/Lxj321/MulticonfigRadiomapDataset |
| - **Project Website:** https://lxj321.github.io/MulticonfigRadiomapDataset/ |
|
|
| ## Repository Structure |
|
|
| The released resources are organized around: |
| - dataset files |
| - pretrained model files |
| - project documentation |
| - benchmark code in the GitHub repository |
|
|
| ## Citation |
|
|
| If you use this dataset or the pretrained models, please cite the associated project and paper. |
|
|
| ```bibtex |
| @misc{li2026u6gxlmimoradiomapprediction, |
| title={U6G XL-MIMO Radiomap Prediction: Multi-Config Dataset and Beam Map Approach}, |
| author={Xiaojie Li and Yu Han and Zhizheng Lu and Shi Jin and Chao-Kai Wen}, |
| year={2026}, |
| eprint={2603.06401}, |
| archivePrefix={arXiv}, |
| primaryClass={eess.SP}, |
| url={https://arxiv.org/abs/2603.06401}, |
| } |
| ``` |
|
|
| Formal citation information will be updated after the paper metadata is finalized. |
|
|
| ## License |
|
|
| * **Dataset:** CC BY 4.0 |
| * **Code:** see the GitHub repository license |
| * **Pretrained models:** released together with this dataset repository unless otherwise specified |
|
|
| ## Contact |
|
|
| **Xiaojie Li** |
| [xiaojieli@seu.edu.cn](mailto:xiaojieli@seu.edu.cn) |
| [xiaojieli@nuaa.edu.cn](mailto:xiaojieli@nuaa.edu.cn) |
