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

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}}