The Deep Learning Evolution in Wireless Physical Layer Communications: Applications, Challenges, and Evolutionary Directions

With the continuous evolution toward sixth-generation (6G) wireless communication systems, emerging scenarios such as terahertz transmission, integrated sensing and communication (ISAC), and ultra-massive multiple-input multiple-output (MIMO) have significantly increased the complexity, nonlinearity...

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Главные авторы:	Hang Xu, Yin Liang, Rui Xie, Yang Kong
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2026-06-01
Серии:	Sensors
Предметы:	artificial intelligence deep learning wireless communication physical layer channel estimation 6G
Online-ссылка:	https://www.mdpi.com/1424-8220/26/11/3609
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