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+# MU-MIMO datasets
+
+This is the official repository of MU-MIMO datasets used in "SplitBeam: Effective and Efficient Beamforming in Wi-Fi Networks Through Split Computing" (ICDCS 2023).
+
+`*-h_mat.npy` and `*-v_mat.npy` are input samples and targets, respectively.
+
+If you have any questions about the datasets, please directly contact [`Niloofar Bahadori`](https://niloobahadori.github.io/) as she built both the real and synthetic datasets.
+
+The code is available [here](https://github.com/yoshitomo-matsubara/split-beam).
+
+## Citation
+
+```bibtex
+@inproceedings{bahadori2023splitbeam,
+  title={{SplitBeam: Effective and Efficient Beamforming in Wi-Fi Networks Through Split Computing}},
+  author={Bahadori, Niloofar and Matsubara, Yoshitomo and Levorato, Marco and Restuccia, Francesco},
+  booktitle={2023 IEEE 43rd International Conference on Distributed Computing Systems (ICDCS)},
+  pages={864--874},
+  year={2023},
+  organization={IEEE}
+}
+```