Abstract: With the rapid development of artificial intelligence (AI) and the rapid growth of network traffic, emerging intelligent applications urgently need a faster, more reliable, and more flexible form of communication network. As a key enabling technology for the intelligent information society in 2030, 6G is expected to support an unprecedented "Internet of Everything" scenario and meet a variety of diverse and challenging needs. However, it also puts forward more stringent requirements for the next generation of wireless communication. In this thesis, academia and industry apply AI to the physical layer of wireless communication, which provides a new idea for the optimization of the transmission architecture of wireless communication systems. This thesis first introduces the AI native theory briefly, then analyzes the relevant research in recent years around four key AI based 6G air interface PHY technologies which includs channel estimation, signal detection, passive beamforming and index modulation (IM), what’s more, summarizes their applications and contributions, and finally points out the challenges and future research directions of AI in 6G.

Key words: artificial intelligence, the sixth generation of mobile communication system, air interface, wireless communication, physical layer