Modified state activation functions of deep learning-based SC-FDMA channel equalization system

Modified state activation functions of deep learning-based SC-FDMA channel equalization system

Abstract The most important function of the deep learning (DL) channel equalization and symbol detection systems is the ability to predict the user’s original transmitted data. Generally, the behavior and performance of the deep artificial neural networks (DANNs) rely on three main aspects: the netw...

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Bibliographic Details
Main Authors: Mohamed A. Mohamed, Hassan A. Hassan, Mohamed H. Essai, Hamada Esmaiel, Ahmed S. Mubarak, Osama A. Omer
Format: Article
Language:English
Published: SpringerOpen 2023-11-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Activation functions
Deep artificial neural networks
Deep learning
Channel equalization
Symbol detection
Long-short-term memory
Online Access:https://doi.org/10.1186/s13638-023-02326-4

Internet

https://doi.org/10.1186/s13638-023-02326-4

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