A Review on Machine Learning for Channel Coding

被引:4
作者
Lim Meng Kee, Heimrih [1 ]
Ahmad, Norulhusna [1 ]
Azri Mohd Izhar, Mohd [1 ]
Anwar, Khoirul [2 ]
Ng, Soon Xin [3 ]
机构
[1] Univ Teknol Malaysia, Fac Artificial Intelligence, Ubiquitous Broadband Access Network Res Grp, Kuala Lumpur 54100, Malaysia
[2] Telkom Univ, Univ Ctr Excellence Adv Intelligent Commun AICOMS, Bandung 40257, Indonesia
[3] Univ Southampton, Sch Elect & Comp Sci, Southampton SO17 1BJ, England
关键词
Channel coding; 5G mobile communication; Wireless communication; 6G mobile communication; 3GPP; Artificial intelligence; Deep learning; Reinforcement learning; Federated learning; 6G; 5G advanced; wireless communications; artificial intelligence; channel coding; machine learning; deep learning; reinforcement learning; federated learning; FUTURE; CODES; 6G; CHALLENGES; NETWORKING; CAPACITY; SYSTEMS; VISION; BOUNDS;
D O I
10.1109/ACCESS.2024.3412192
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The usage of artificial intelligence and machine learning in wireless communications is the stepping stone towards a technological breakthrough in the current limitations of wireless communication systems. The trend of future coding schemes towards 6G appears to be based on rateless schemes and machine learning. Channel coding is important when transmitting data or information reliably as it provides error-correcting purposes. However, there is still a demand for more research regarding machine learning for channel coding. There is also a lack of a specific term or classification for existing machine learning applications for channel coding. This paper explores and compiles current trending machine learning techniques for channel coding. We are also introducing and proposing a new type of machine learning classification for channel coding purposes, as well as surveying some of the papers that fall under the respective class. This paper also discusses current challenges and future machine learning trends for channel coding, which are expected to impact future wireless communications development, especially in channel coding advancements.
引用
收藏
页码:89002 / 89025
页数:24
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