Datasets
Open Access
DeepWiPHY: Synthetic and real-world IEEE 802.11ax OFDM symbol dataset
- Citation Author(s):
- Submitted by:
- Yi Zhang
- Last updated:
- Mon, 10/19/2020 - 03:20
- DOI:
- 10.21227/7h3f-xc81
- Data Format:
- License:
- Categories:
- Keywords:
Abstract
This dataset is associated with the paper entitled "DeepWiPHY: Deep Learning-based Receiver Design and Dataset for IEEE 802.11ax Systems", accepted by IEEE Transactions on Wireless Communications. It has synthetic and real-word IEEE 802.11ax OFDM symbols. The synthetic dataset has around 110 million OFDM symbols and the real-world dataset has more than 14 million OFDM symbols. Our comprehensive synthetic dataset has specifically considered typical indoor channel models and RF impairments. The real-world dataset was collected under a wide range of signal-to-noise ratio (SNR) levels and at various locations in a large office. To create this real-world dataset, we built a passive sniffing-based data collection testbed with a commercial AP, a Samsung mobile phone and two USRPs.
Detailed documentations and instructions will be found in the uploaded files.
Dataset Files
- dataset.zip (552.09 GB)
- Source codes for training with synthetic dataset synthetic_training.zip (20.58 kB)
- Source codes for training with real-world dataset realworld_training.zip (25.64 kB)
- Tutorial on dataset and DeepWiPHY project tutorials.zip (215.33 MB)
- Trained models trained_models.zip (1.37 GB)
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Documentation
Attachment | Size |
---|---|
README.txt | 4.76 KB |
LICENSE.txt | 1.68 KB |
Paper to appear in IEEE TWC | 14.95 MB |
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