Recent Advances in Deep Learning for Channel Coding: A Survey

This paper provides a comprehensive survey of recent advances in deep learning (DL) techniques for channel coding problems. Inspired by the recent successes of DL in a variety of research domains, its applications to physical layer technologies have been extensively studied in recent years, and they...

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Veröffentlicht in:	IEEE open journal of the Communications Society Jg. 5; S. 6443 - 6481
Hauptverfasser:	Matsumine, Toshiki, Ochiai, Hideki
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Channel coding Codes Coding Communication systems Decoding Deep learning deep learning (DL) Error correcting codes Error correction Graphics processing units low-density parity check (LDPC) codes Machine learning machine learning (ML) neural network Neural networks Physical layer polar codes Reviews Surveys turbo codes Wireless communication systems
ISSN:	2644-125X, 2644-125X
Online-Zugang:	Volltext
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