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Effective deep learning-based channel state estimation and signal detection for OFDM wireless systems Cover

Effective deep learning-based channel state estimation and signal detection for OFDM wireless systems

Journal of Electrical Engineering
Volume 74 (2023): Issue 3 (June 2023)
By: Hassan A. Hassan,  Mohamed A. Mohamed,  Mohamed H. Essai,  Hamada Esmaiel,  Ahmed S. Mubarak and  Osama A. Omer  
Open Access
|Jul 2023

Authors

Hassan A. Hassan

hassanali2720.el@azhar.edu.eg

Department of Electrical Engineering, Faculty of Engineering, Al-Azhar University, Qena, Egypt

Mohamed A. Mohamed

Department of Electrical Engineering, Faculty of Engineering, Al-Azhar University, Qena, Egypt

Mohamed H. Essai

Department of Electrical Engineering, Faculty of Engineering, Al-Azhar University, Qena, Egypt

Hamada Esmaiel

Aswan Faculty of Engineering, Aswan University, Abulrish, Egypt

Ahmed S. Mubarak

Aswan Faculty of Engineering, Aswan University, Abulrish, Egypt

Osama A. Omer

Aswan Faculty of Engineering, Aswan University, Abulrish, Egypt
DOI: https://doi.org/10.2478/jee-2023-0022 | Journal eISSN: 1339-309X | Journal ISSN: 1335-3632
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Language: English
Page range: 167 - 176
Submitted on: Mar 9, 2023
|
Published on: Jul 22, 2023
Published by: Slovak University of Technology in Bratislava
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year
Keywords:
OFDM,
channel state estimation,
signal detection,
deep learning,
GRU
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2023 Hassan A. Hassan, Mohamed A. Mohamed, Mohamed H. Essai, Hamada Esmaiel, Ahmed S. Mubarak, Osama A. Omer, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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