DeepWiPHY: Synthetic and real-world IEEE 802.11ax OFDM symbol dataset
- Citation Author(s):
-
Yi Zhang (The University of Texas at Austin)Akash Doshi (The University of Texas at Austin)Rob Liston (Cisco Systems Inc.)Wai-tian Tan (Cisco Systems Inc.)Xiaoqing Zhu (Cisco Systems Inc.)Jeffrey Andrews (The University of Texas at Austin)Robert Heath (The University of Texas at Austin)
- Submitted by:
- Yi Zhang
- Last updated:
- DOI:
- 10.21227/7h3f-xc81
- Data Format:
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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.
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