ESC

Publications

Preprints

    Refereed Journal Articles

    1. Tonini, E., Lo Cigno, R., Gringoli, F., & Cominelli, M. (2026). Inside the Channel: A Stochastic Analysis of the CSI for Wi-Fi Sensing. IEEE Internet of Things Journal, 1–1.
      DOI 
      @article{tonini2026inside,
  author = {Tonini, Elena and {Lo~Cigno}, Renato and Gringoli, Francesco and Cominelli, Marco},
  journal = {IEEE Internet of Things Journal},
  title = {Inside the Channel: A Stochastic Analysis of the CSI for Wi-Fi Sensing},
  year = {2026},
  volume = {},
  number = {},
  pages = {1-1},
  keywords = {Modeling;Timing;Wireless fidelity;Internet of Things;Autocorrelation;Algorithms;Distance measurement;Antennas;Bandwidth;Support vector machines;CSI Sensing;Wi-Fi;Joint Communication and Sensing;Stochastic Analysis;Open-source dataset},
  doi = {10.1109/JIOT.2026.3725869}
}

    Refereed Conference Proceedings

    1. Tonini, E., Lo Cigno, R., & Viterbo, E. (2026). Delay-Doppler Domain Feature Extraction for Explainable Wi-Fi Activity Recognition via SVM. 2026 Mediterranean Artificial Intelligence and Networking Conference (MAIN), 1–9.
      DOI 
      @inproceedings{tonini2026delay,
  author = {Tonini, Elena and {Lo~Cigno}, Renato and Viterbo, Emanuele},
  booktitle = {2026 Mediterranean Artificial Intelligence and Networking Conference (MAIN)},
  title = {Delay-Doppler Domain Feature Extraction for Explainable Wi-Fi Activity Recognition via SVM},
  year = {2026},
  volume = {},
  number = {},
  pages = {1-9},
  keywords = {Casting;Wireless fidelity;Doppler effect;Support vector machines;Accuracy;Activity recognition;Printing;Delays;Timing;Equations},
  doi = {10.1109/MAIN71116.2026.11622374}
}
    2. Tonini, E., & Lo Cigno, R. (2026). Leveraging Mutual Information in Stochastic CSI Analysis for Wi-Fi Sensing. 2026 21st Wireless On-Demand Network Systems and Services Conference (WONS), 97–104.
      DOI 
      @inproceedings{tonini2026leveraging,
  author = {Tonini, Elena and {Lo~Cigno}, Renato},
  booktitle = {2026 21st Wireless On-Demand Network Systems and Services Conference (WONS)},
  title = {Leveraging Mutual Information in Stochastic CSI Analysis for Wi-Fi Sensing},
  year = {2026},
  volume = {},
  number = {},
  pages = {97-104},
  keywords = {Activity recognition;Sensor systems;Human activity recognition;Antennas;Feeds;Receiving antennas;Circuits;Filtering;Particle filters;Circuits and systems;CSI Sensing;Joint Communication and Sensing;Stochastic Analysis;Mutual Information},
  doi = {10.23919/WONS68803.2026.11501829}
}
    3. Snezskaia, A., Tonini, E., Lo Cigno, R., & Perin, G. (2026). Energy-Efficient CSI-Based People Tracking with Spiking Neural Networks. Neuromorphic Physical Layer Signal Processing for Wireless Systems Workshop (NeuroPHY), 1–7.
      DOI 
      @inproceedings{snezskaia2026energy,
  author = {Snezskaia, Alisa and Tonini, Elena and {Lo~Cigno}, Renato and Perin, Giovanni},
  title = {{Energy-Efficient CSI-Based People Tracking with Spiking Neural Networks}},
  year = {2026},
  _url = {},
  doi = {},
  pages = {1-7},
  numpages = {7},
  location = {Dresden, Germany},
  booktitle = {Neuromorphic Physical Layer Signal Processing for Wireless Systems Workshop (NeuroPHY)}
}
    4. Tonini, E., Gringoli, F., Lo Cigno, R., & Cominelli, M. (2025). Towards a Quantitative Analysis of CSI for AI/ML Based Sensing. 2025 IEEE Wireless Communications and Networking Conference (WCNC), 1–6.
      DOI 
      @inproceedings{tonini2025towards,
  author = {Tonini, Elena and Gringoli, Francesco and {Lo~Cigno}, Renato 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}
}
    5. Angjo, J., Tonini, E., Dressler, F., & Lo Cigno, R. (2025). Poster: mmWave CSI-based Sensing: a Feasibility Study. Proceedings of the 31st Annual International Conference on Mobile Computing and Networking, 1353–1355. https://doi.org/10.1145/3680207.3765684
      DOI 
      @inproceedings{angjo2025mmwave,
  author = {Angjo, Joana and Tonini, Elena and Dressler, Falko and {Lo~Cigno}, Renato},
  title = {Poster: mmWave CSI-based Sensing: a Feasibility Study},
  year = {2025},
  isbn = {9798400711299},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  url = {https://doi.org/10.1145/3680207.3765684},
  doi = {10.1145/3680207.3765684},
  booktitle = {Proceedings of the 31st Annual International Conference on Mobile Computing and Networking},
  pages = {1353–1355},
  numpages = {3},
  keywords = {joint communication and sensing, mmWave, channel state information, non-reconfigurable reflecting surface},
  location = {Kerry Hotel, Hong Kong, Hong Kong, China},
  series = {ACM MOBICOM '25}
}

      Channel state information (CSI) is widely used for joint communication and sensing in sub-6 GHz wireless networks, but its application at mmWave frequencies remains under-explored. This work applies a quantized amplitude-based CSI similarity metric to data from a 28 GHz indoor testbed, showing the feasibility of CSI-based ambient sensing in next-generation wireless networks.
    6. Ghiro, L., Lo Cigno, R., Tonini, E., Fontana, S., & Segata, M. (2024). Can Platoons Form on Their Own? 2024 IEEE Vehicular Networking Conference (VNC), 180–187.
      DOI 
      @inproceedings{ghiro2024can,
  author = {Ghiro, Lorenzo and {Lo~Cigno}, Renato and Tonini, Elena and Fontana, Stefano and Segata, Michele},
  booktitle = {2024 IEEE Vehicular Networking Conference (VNC)},
  title = {Can Platoons Form on Their Own?},
  year = {2024},
  volume = {},
  number = {},
  pages = {180-187},
  keywords = {Protocols;Roads;Simulation;Vehicle dynamics;Vehicle-to-everything;Optimization},
  doi = {10.1109/VNC61989.2024.10575981}
}