Datasets

• R. Wiesmayr and F. Zumegen, “CAEZ: CSI Acquisition at ETH Zurich”, locally hosted repository for real-world CSI datasets: descriptions and download links; as described in “CSI-Based User Positioning, Channel Charting, and Device Classification with an NVIDIA 5G Testbed,” by R. Wiesmayr, F. Zumegen, S. Taner, C. Dick, and C. Studer.

• M. E. M. Makhlouf, M. Guillaud, and Y. Vindas, “Multi-cell Outdoors Channel State Information Dataset (MOCSID)”, Zenodo repository with h5-format dataset for the results in the EuCNC & 6G Summit 2025 paper on “Multi-cell Outdoor Channel State Information Dataset (MOCSID)”, by M. E. M. Makhlouf, M. Guillaud, and Y. Vindas.

Software

• S. Taner, “Channel Charting for Streaming CSI,” GitHub repository with PyTorch code for the results in the Asilomar 2023 paper on “Channel Charting for Streaming CSI Data,” by S. Taner, M. Guillaud, O. Tirkkonen, and C. Studer.

• S. Taner, “Channel Charting in Real-World Coordinates with Distributed MIMO,” GitHub repository with PyTorch code for the results in the IEEE Transactions on Wireless Communications 2025 paper on “Channel Charting in Real-World Coordinates with Distributed MIMO,” by S. Taner, V. Palhares, and C. Studer.

• M. E. M. Makhlouf, M. Guillaud, and Y. Vindas, “Outdoor Dataset - MOCSID”, GitLab repository with Python code for the results in the EuCNC & 6G Summit 2025 paper on “Multi-cell Outdoor Channel State Information Dataset (MOCSID)”, by M. E. M. Makhlouf, M. Guillaud, and Y. Vindas.