Machine learning in antenna design: An overview on machine learning concept and algorithms
HM El Misilmani, T Naous - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
With the growth and wide variety of available data, advanced processing, and affordable
data storage, machine learning is witnessing great attention in finding optimized solutions in …
data storage, machine learning is witnessing great attention in finding optimized solutions in …
Machine learning-based 5G-and-beyond channel estimation for MIMO-OFDM communication systems
Channel estimation plays a critical role in the system performance of wireless networks. In
addition, deep learning has demonstrated significant improvements in enhancing the …
addition, deep learning has demonstrated significant improvements in enhancing the …
Channel state information prediction for adaptive underwater acoustic downlink OFDMA system: Deep neural networks based approach
In underwater acoustic (UWA) adaptive communication system, due to time-varying channel,
the transmitter often has outdated channel state information (CSI), which results in low …
the transmitter often has outdated channel state information (CSI), which results in low …
Deep learning aided OFDM receiver for underwater acoustic communications
In this study, we propose a deep learning (DL)-based orthogonal frequency division
multiplexing (OFDM) receiver for underwater acoustic (UWA) communications. Compared to …
multiplexing (OFDM) receiver for underwater acoustic (UWA) communications. Compared to …
Advances and applications of machine learning in underwater acoustics
Recent advancements in machine learning (ML) techniques applied to underwater acoustics
have significantly impacted various aspects of this field, such as source localization, target …
have significantly impacted various aspects of this field, such as source localization, target …
DeepWiPHY: Deep learning-based receiver design and dataset for IEEE 802.11 ax systems
In this work, we develop DeepWiPHY, a deep learning-based architecture to replace the
channel estimation, common phase error (CPE) correction, sampling rate offset (SRO) …
channel estimation, common phase error (CPE) correction, sampling rate offset (SRO) …
On the performance of deep neural network aided channel estimation for underwater acoustic OFDM communications
Y Zhang, H Wang, C Li, X Chen, F Meriaudeau - Ocean Engineering, 2022 - Elsevier
In recent years, the study of deep learning (DL) applications for underwater acoustic (UWA)
orthogonal frequency division multiplexing (OFDM) communication has been received …
orthogonal frequency division multiplexing (OFDM) communication has been received …
Performance analysis of multi-hop underwater wireless optical communication systems over exponential-generalized gamma turbulence channels
Underwater wireless optical communication (UWOC) has generated a much interest in the
research community thanks to its wide range of applications, including submarine …
research community thanks to its wide range of applications, including submarine …
Bivariate pilot optimization for compressed channel estimation in RIS-assisted multiuser MISO-OFDM systems
In reconfigurable intelligent surface (RIS)-assisted wireless communication systems,
channel estimation is of paramount importance to unleash the full advantage of the high …
channel estimation is of paramount importance to unleash the full advantage of the high …
Underwater acoustic communication channel modeling using reservoir computing
Underwater acoustic (UWA) communications have been widely used but greatly impaired
due to the complicated nature of the underwater environment. In order to improve UWA …
due to the complicated nature of the underwater environment. In order to improve UWA …