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--- |
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license: cdla-permissive-2.0 |
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pretty_name: mu_mimo |
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size_categories: |
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- 100K<n<1M |
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--- |
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# MU-MIMO datasets |
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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). |
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`*-h_mat.npy` and `*-v_mat.npy` are input samples and targets, respectively. |
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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. |
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The code is available [here](https://github.com/yoshitomo-matsubara/split-beam). |
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## Citation |
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```bibtex |
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@inproceedings{bahadori2023splitbeam, |
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title={{SplitBeam: Effective and Efficient Beamforming in Wi-Fi Networks Through Split Computing}}, |
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author={Bahadori, Niloofar and Matsubara, Yoshitomo and Levorato, Marco and Restuccia, Francesco}, |
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booktitle={2023 IEEE 43rd International Conference on Distributed Computing Systems (ICDCS)}, |
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pages={864--874}, |
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year={2023}, |
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organization={IEEE} |
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} |
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``` |
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