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Deep-Learning-Based Frame Format Detection for IEEE 802.11 Wireless Local Area Networks

Department of Electronic and Computer Engineering, Hanyang University, Wangsimni-ro 2222, Seongdong-gu, Seoul 04763, Korea
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Electronics 2020, 9(7), 1170; https://doi.org/10.3390/electronics9071170
Received: 22 June 2020 / Revised: 8 July 2020 / Accepted: 16 July 2020 / Published: 18 July 2020
(This article belongs to the Section Microwave and Wireless Communications)
Backward compatibility is one of the key issues for radio equipment that supports IEEE 802.11, which is a typical communication protocol for wireless local area networks (WLANs). For achieving successful packet decoding with backward compatibility, frame format detection is the core precondition. In this study, we present a novel, deep-learning-based frame format detection method for IEEE 802.11 WLANs. Considering that the detection performance of conventional methods is mainly degraded because of poor performance in symbol synchronization and/or channel estimation in environments with a low signal-to-noise ratio, we propose a novel detection method based on a deep learning network to replace conventional detection procedures. The proposed deep-learning network method achieves robust detection directly from the received (Rx) data. Through extensive computer simulations performed in multipath fading channel environments (modeled by Project IEEE 802.11 Task Group ac), we confirmed that the proposed method exhibits significantly higher frame format detection performance than that of the conventional method. View Full-Text
Keywords: deep learning network; wireless local area network; IEEE 802.11ac; backward compatibility; frame format detection deep learning network; wireless local area network; IEEE 802.11ac; backward compatibility; frame format detection
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MDPI and ACS Style

Kim, M.; Zhang, Z.; Kim, D.; Choi, S. Deep-Learning-Based Frame Format Detection for IEEE 802.11 Wireless Local Area Networks. Electronics 2020, 9, 1170. https://doi.org/10.3390/electronics9071170

AMA Style

Kim M, Zhang Z, Kim D, Choi S. Deep-Learning-Based Frame Format Detection for IEEE 802.11 Wireless Local Area Networks. Electronics. 2020; 9(7):1170. https://doi.org/10.3390/electronics9071170

Chicago/Turabian Style

Kim, Minjae, Zhongfeng Zhang, Daejin Kim, and Seungwon Choi. 2020. "Deep-Learning-Based Frame Format Detection for IEEE 802.11 Wireless Local Area Networks" Electronics 9, no. 7: 1170. https://doi.org/10.3390/electronics9071170

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