Iterative Syndrome-Based Deep Neural Network Decoding

Iterative Syndrome-Based Deep Neural Network Decoding

While the application of deep neural networks (DNNs) for channel decoding is a well-researched topic, most studies focus on hard output decoding, potentially restricting the practical application of such decoders in real communication systems. Modern receivers require iterative decoders, a pivotal c...

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Bibliographic Details
Main Authors: Dmitry Artemasov, Kirill Andreev, Pavel Rybin, Alexey Frolov
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
Channel decoding
complexity reduction
deep neural networks
iterative codes
soft-output
Online Access:https://ieeexplore.ieee.org/document/10818780/
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