信道编码深度学习的最新进展:调查

IF 6.3 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Toshiki Matsumine;Hideki Ochiai
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引用次数: 0

摘要

本文全面介绍了针对信道编码问题的深度学习(DL)技术的最新进展。受深度学习最近在多个研究领域取得成功的启发,近年来人们对其在物理层技术中的应用进行了广泛研究,这些应用有望成为支持下一代无线通信系统(如 6G)新兴用例的潜在突破口。在本文中,我们将专门讨论信道编码问题,并回顾了将先进的 DL 技术融入代码设计和信道解码的现有方法。在简要介绍了最新 DL 技术的背景之后,我们对用于设计和解码现代纠错码(如低密度奇偶校验码 (LDPC) 和极性码)的各种方法(包括无模型和基于模型的 DL)进行了分类和总结,以突出它们的潜在优势和挑战。最后,本文讨论了信道编码领域的开放问题和未来研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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 are expected to be a potential breakthrough in supporting the emerging use cases of the next generation wireless communication systems such as 6G. In this paper, we focus exclusively on channel coding problems and review existing approaches that incorporate advanced DL techniques into code design and channel decoding. After briefly introducing the background of recent DL techniques, we categorize and summarize a variety of approaches, including model-free and model-based DL, for the design and decoding of modern error-correcting codes, such as low-density parity check (LDPC) codes and polar codes, to highlight their potential advantages and challenges. Finally, the paper concludes with a discussion of open issues and future research directions in channel coding.
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来源期刊
CiteScore
13.70
自引率
3.80%
发文量
94
审稿时长
10 weeks
期刊介绍: The IEEE Open Journal of the Communications Society (OJ-COMS) is an open access, all-electronic journal that publishes original high-quality manuscripts on advances in the state of the art of telecommunications systems and networks. The papers in IEEE OJ-COMS are included in Scopus. Submissions reporting new theoretical findings (including novel methods, concepts, and studies) and practical contributions (including experiments and development of prototypes) are welcome. Additionally, survey and tutorial articles are considered. The IEEE OJCOMS received its debut impact factor of 7.9 according to the Journal Citation Reports (JCR) 2023. The IEEE Open Journal of the Communications Society covers science, technology, applications and standards for information organization, collection and transfer using electronic, optical and wireless channels and networks. Some specific areas covered include: Systems and network architecture, control and management Protocols, software, and middleware Quality of service, reliability, and security Modulation, detection, coding, and signaling Switching and routing Mobile and portable communications Terminals and other end-user devices Networks for content distribution and distributed computing Communications-based distributed resources control.
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