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...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE open journal of the Communications Society Vol. 5; pp. 6443 - 6481
Main Authors:	Matsumine, Toshiki, Ochiai, Hideki
Format:	Journal Article
Language:	English
Published:	New York IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!