README.md

metadata

license: cdla-permissive-2.0
pretty_name: mu_mimo
size_categories:
  - 100K<n<1M

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 as she built both the real and synthetic datasets.

The code is available here.

Citation

@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}
}