Deep Learning Gated Recurrent Neural Network-Based Channel State Estimator for OFDM Wireless Communication Systems

Deep Learning Gated Recurrent Neural Network-Based Channel State Estimator for OFDM Wireless Communication Systems

Using deep learning technologies, the channel estimate for an orthogonal frequency division multiplexing system (OFDM) based on pilots is done in this work. To be more specific, deep learning gated recurrent unit (GRU) neural networks are used to present a new framework for channel estimation. Initi...

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Bibliographic Details
Main Authors: Mohamed Hassan Essai Ali, M. Lotfy Rabeh, Sherif Hekal, Abeer N. Abbas
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Deep learning
channel estimation
gated recurrent unit
OFDM
Online Access:https://ieeexplore.ieee.org/document/9806714/

Internet

https://ieeexplore.ieee.org/document/9806714/

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