Wi-Fi meets ML: A survey on improving IEEE 802.11 performance with machine learning
Wireless local area networks (WLANs) empowered by IEEE 802.11 (Wi-Fi) hold a dominant
position in providing Internet access thanks to their freedom of deployment and configuration …
position in providing Internet access thanks to their freedom of deployment and configuration …
Deep learning based automatic modulation recognition: Models, datasets, and challenges
F Zhang, C Luo, J Xu, Y Luo, FC Zheng - Digital Signal Processing, 2022 - Elsevier
Automatic modulation recognition (AMR) detects the modulation scheme of the received
signals for further signal processing without needing prior information, and provides the …
signals for further signal processing without needing prior information, and provides the …
MR‐DCAE: Manifold regularization‐based deep convolutional autoencoder for unauthorized broadcasting identification
Q Zheng, P Zhao, D Zhang… - International Journal of …, 2021 - Wiley Online Library
Nowadays, radio broadcasting plays an important role in people's daily life. However,
unauthorized broadcasting stations may seriously interfere with normal broadcastings and …
unauthorized broadcasting stations may seriously interfere with normal broadcastings and …
Radar deception jamming recognition based on weighted ensemble CNN with transfer learning
With the development of new active deception jamming, radar antijamming has become a
major research hotspot, and the recognition of jamming type is one of its key steps. In recent …
major research hotspot, and the recognition of jamming type is one of its key steps. In recent …
An overview of wireless communication technology using deep learning
J Jiao, X Sun, L Fang, J Lyu - China Communications, 2021 - ieeexplore.ieee.org
With the development of 5G, the future wireless communication network tends to be more
and more intelligent. In the face of new service demands of communication in the future such …
and more intelligent. In the face of new service demands of communication in the future such …
[HTML][HTML] A multi-subsampling self-attention network for unmanned aerial vehicle-to-ground automatic modulation recognition system
Y Shen, H Yuan, P Zhang, Y Li, M Cai, J Li - Drones, 2023 - mdpi.com
In this paper, we investigate the deep learning applications of radio automatic modulation
recognition (AMR) applications in unmanned aerial vehicle (UAV)-to-ground AMR systems …
recognition (AMR) applications in unmanned aerial vehicle (UAV)-to-ground AMR systems …
Attention-based gesture recognition using commodity wifi devices
The broad spectrum of applications of WiFi sensing technology, such as gait and gesture
recognition, has received widespread attention in recent years. Though most WiFi sensing …
recognition, has received widespread attention in recent years. Though most WiFi sensing …
[HTML][HTML] A novel signal design and performance analysis in NavCom based on LEO constellation
J Ji, Y Liu, W Chen, D Wu, H Lu, J Zhang - Sensors, 2021 - mdpi.com
The mega-launch of low Earth orbit satellites (LEOs) represents a critical opportunity to
integrate navigation and communication (NavCom), but first, challenges related to signal …
integrate navigation and communication (NavCom), but first, challenges related to signal …
A multiscale CNN framework for wireless technique classification in Internet of Things
Wireless technique classification (WTC) is of crucial importance in Internet of Things for
realizing efficient spectrum sharing and interference management. However, the existing …
realizing efficient spectrum sharing and interference management. However, the existing …
Coexistence Management in wireless networks-a survey
The rapid proliferation of wireless networks poses a great challenge of effective coexistence
management amongst a plethora of wireless communication protocol users that are co …
management amongst a plethora of wireless communication protocol users that are co …