Full-Duplex Massive MIMO

Project Dataset

This dataset was collected in the anechoic chamber setup at the POWDER platform. These datasets were collected by the [TODO] at the University of Utah campus. For any questions about this dataset, please contact us. Before you use the datasets, please read the Data Copyright and License Agreement below.

Data Copyright and License

Rice University hereby grants you a non-exclusive, non-transferable license to use the data for commercial, educational, and/or research purposes only. You agree to not redistribute the data without written permission from Rice University.

You agree to acknowledge the source of the data in any publication or product reporting on your use of it.

We provide no warranty whatsoever on any aspect of the data, including but not limited to its correctness, completeness, and fitness. Use at your own risk.

[FIXME!!]

You agree to acknowledge Joshua Miraglia... ... R. Doost-Mohammady et al., "RENEW: Programmable and Observable Massive MIMO Networks," 2018 52nd Asilomar Conference on Signals, Systems, and Computers, 2018, pp. 1654-1658, doi:10.1109/ACSSC.2018.8645391 in any publication or product reporting on your use of the data. If the data is not part of the IEEE Transactions on Wireless Communications reference data, you also agree to acknowledge the additional source of the data, if applicable.

NOTE: Downloading, obtaining, and/or using the data in any means constitutes your agreement with these terms.

BibTeX entry:

@INPROCEEDINGS{8645391,
author={Doost-Mohammady, Rahman and Bejarano, Oscar and Zhong, Lin and Cavallaro, Joseph R. and Knightly, Edward and Mao, Z. Morley and Li, Wei Wayne and Chen, Xuemin and Sabharwal, Ashutosh},
booktitle={2018 52nd Asilomar Conference on Signals, Systems, and Computers},
title={RENEW: Programmable and Observable Massive MIMO Networks},
year={2018},
volume={},
number={},
pages={1654-1658},
doi={10.1109/ACSSC.2018.8645391}}

Data

# File Name Description Link Size
1 mmimo_bs-to-bs-anechoic-2021-8-5-12-47-35_1x48_0_47.hdf5 Self-interference among all 48 antennas in the base station: Raw I/Q samples and metadata Download Dataset 19 GB
2 mmimo_bs-to-bs-anechoic-lowGain-2021-8-5-17-15-6_1x48_0_47.hdf5 (Lower gain) Self-interference among all 48 antennas in the base station: Raw I/Q samples and metadata. Download Dataset 19 GB
3 mmimo-self-ch1-anechoic-2021-8-5-12-15-27_1x8_0_7.hdf5 Self-interference among all 8 antennas in a single chain, i.e., chain1: Raw I/Q samples and metadata Download Dataset 1 GB
4 mmimo-self-ch2-anechoic-2021-8-5-12-17-20_1x8_0_7.hdf5 Self-interference among all 8 antennas in a single chain, i.e., chain2: Raw I/Q samples and metadata Download Dataset 1 GB
5 mmimo-self-ch3-anechoic-2021-8-5-12-26-46_1x8_0_7.hdf5 Self-interference among all 8 antennas in a single chain, i.e., chain3: Raw I/Q samples and metadata Download Dataset 1 GB
6 mmimo-self-ch4-anechoic-2021-8-5-12-28-31_1x8_0_7.hdf5 Self-interference among all 8 antennas in a single chain, i.e., chain4: Raw I/Q samples and metadata Download Dataset 1 GB
7 mmimo-self-ch5-anechoic-2021-8-5-12-31-10_1x8_0_7.hdf5 Self-interference among all 8 antennas in a single chain, i.e., chain5: Raw I/Q samples and metadata Download Dataset 1 GB
8 mmimo-self-ch6-anechoic-2021-8-5-12-32-27_1x8_0_7.hdf5 Self-interference among all 8 antennas in a single chain, i.e., chain6: Raw I/Q samples and metadata Download Dataset 1 GB
9 mmimo_ue-to-bs-anechoic-2021-8-5-10-58-38_1x48x4_0_47.hdf5 Pilot data sent from UE to 48-antenna base station. Can be used as a baseline (includes raw I/Q samples and metadata) Download Dataset 3 GB
10 conf-anechoic-chamber-08-05-2021-BStoBS_tx70_rx65.json Configuration file used to collect self-interference data Download Configuration 2 kB
11 conf-anechoic-chamber-08-05-2021-UEtoBS.json Configuration file used to collect data from UE to BS Download Configuration 2 kB
12 README.txt README file with more detailed information about the dataset Download README 7 kB