Advances in Artificial Intelligence for Next-Generation Wireless Transmission
DOI:
https://doi.org/10.54097/3fkgwa24Keywords:
Artificial intelligence, Wireless transmission technology, Deep learningAbstract
Intelligent communication is considered one of the mainstream directions for the development of wireless communication post-5G. Its core idea involves integrating artificial intelligence into various layers of wireless communication systems, achieving an organic fusion of wireless communication and AI technologies. Currently, research in this area is rapidly advancing toward the physical layer, though the integration of wireless transmission technologies and AI remains in the early exploratory stages. Focusing on AI-based key wireless transmission technologies, this paper provides a detailed introduction to channel estimation, signal detection, channel state information feedback and reconstruction, channel decoding, and end-to-end wireless communication systems. It elaborates on the latest research progress in this field within the international academic community and further discusses the future development trends of AI-driven wireless transmission technologies.
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