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Published February 13, 2025 | Version v1
Dataset Open

Towards a Quantitative Analysis of CSI for AI/ML Based Sensing

Authors/Creators

  • 1. ROR icon University of Brescia
  • 2. ROR icon Politecnico di Milano

Description

This dataset has been used to conduct a quantitative analysis of the CSI to gain insight into the potential and limitations of CSI-based ambient sensing in the paper "Towards a Quantitative Analysis of CSI for AI/ML Based Sensing." 

It contains many CSI traces collected in an indoor environment in the presence of a varying number of people. All the data were collected with commercial Wi-Fi systems using IEEE 802.11ax and 20/40/80-MHz-wide channels.

If you use this dataset, please cite our work as:

E. Tonini, F. Gringoli, R. L. Cigno and M. Cominelli, "Towards a Quantitative Analysis of CSI for AI/ML Based Sensing," 2025 IEEE Wireless Communications and Networking Conference (WCNC), Milan, Italy, 2025, pp. 1-6, doi: 10.1109/WCNC61545.2025.10978183. keywords: {Location awareness;Accuracy;Statistical analysis;Integrated sensing and communication;Stability analysis;Artificial intelligence;Channel state information},

@INPROCEEDINGS{10978183,
  author={Tonini, Elena and Gringoli, Francesco and Cigno, Renato Lo and Cominelli, Marco},
  booktitle={2025 IEEE Wireless Communications and Networking Conference (WCNC)}, 
  title={Towards a Quantitative Analysis of CSI for AI/ML Based Sensing}, 
  year={2025},
  volume={},
  number={},
  pages={1-6},
  keywords={Location awareness;Accuracy;Statistical analysis;Integrated sensing and communication;Stability analysis;Artificial intelligence;Channel state information},
  doi={10.1109/WCNC61545.2025.10978183}}

Files

csiq_dataset.zip

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Additional details

Related works

Is referenced by
Conference proceeding: 10.1109/WCNC61545.2025.10978183 (DOI)

Funding

Ministero dell'università e della ricerca
PROSDS (Architettura, PROgetto, ottimizzazione e valutazione di sistemi di percezione collaborativa distribuiti per Smart Driving Spaces) part of Structural Project SUPER, Spoke 4 RESTART (PE00000001) C89J24000270004
Ministero dell'università e della ricerca
EMBRACE (Energy-efficient Methods and enaBling technologies for communications, netwoRking, infrastructures and smArt services in Challenging Environments) part of Structural Project SEXTET, Spoke 6 RESTART (PE00000001) E63C22002070006
Ministero dell'università e della ricerca
CSI-Future (Joint Communication and Sensing: CSI-Based Sensing for Future Wireless Networks) PRIN 2022 PNRR D53D23016040001

References

  • E. Tonini, F. Gringoli, R. L. Cigno and M. Cominelli, "Towards a Quantitative Analysis of CSI for AI/ML Based Sensing," 2025 IEEE Wireless Communications and Networking Conference (WCNC), Milan, Italy, 2025, pp. 1-6, doi: 10.1109/WCNC61545.2025.10978183.