Deep Learning Peephole LSTM Neural Network-Based Channel State Estimators for OFDM 5G and Beyond Networks

Deep Learning Peephole LSTM Neural Network-Based Channel State Estimators for OFDM 5G and Beyond Networks

This study uses deep learning (DL) techniques for pilot-based channel estimation in orthogonal frequency division multiplexing (OFDM). Conventional channel estimators in pilot-symbol-aided OFDM systems suffer from performance degradation, especially in low signal-to-noise ratio (SNR) regions, due to...

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Bibliographic Details
Main Authors: Mohamed Hassan Essai Ali, Ali R. Abdellah, Hany A. Atallah, Gehad Safwat Ahmed, Ammar Muthanna, Andrey Koucheryavy
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Mathematics
Subjects:
LSTM
peephole LSTM
GRU
deep learning
channel estimation
Online Access:https://www.mdpi.com/2227-7390/11/15/3386

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https://www.mdpi.com/2227-7390/11/15/3386

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