Deep Learning-Based Packet Detection and Carrier Frequency Offset Estimation in IEEE 802.11ah

@article{Ninkovi2021DeepLP,
  title={Deep Learning-Based Packet Detection and Carrier Frequency Offset Estimation in IEEE 802.11ah},
  author={Vukan Ninkovi{\'c} and Aleksandar Valka and Dejan Dumic and Dejan Vukobratovi{\'c}},
  journal={IEEE Access},
  year={2021},
  volume={9},
  pages={99853-99865}
}
Wi-Fi systems based on the IEEE 802.11 standards are the most popular wireless interfaces that use Listen Before Talk (LBT) method for channel access. The distinctive feature of a majority of LBT-based systems is that the transmitters use preambles that precede the data to allow the receivers to perform packet detection and carrier frequency offset (CFO) estimation. Preambles usually contain repetitions of training symbols with good correlation properties, while conventional digital receivers… Expand
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