Application of Machine Learning in Wireless Communications

Tiancheng Zhu ； Haoyi Li ； Yishan Lai

《International Core Journal of Engineering》 7卷6期 (2021/06) Pp. 43-48

https://doi.org/10.6919/ICJE.202106_7(6).0007

摘要

In recent years, artificial intelligence technology has been widely used in the field of wireless communication to solve the bottleneck problems encountered by traditional wireless communication technologies in the face of new development trends such as the information explosion and the Internet of Everything. Intelligent communication is gradually becoming the mainstream direction. As an important branch of machine learning, deep learning has been widely used in physical layer communication in recent years and has achieved significant performance improvements. We first introduce decision tree algorithms and deep learning, two representative artificial intelligence technologies. Then, we elaborate on the application of these two technologies in the field of wireless communication, analyze and summarize their applicability and design in solving wireless communication problems. Methods, advantages and disadvantages, and finally, point out the future development trend and research direction of intelligent wireless communication technology around the existing limitations.

關鍵字

Artificial Intelligence ； Wireless Communication ； Machine Learning ； Deep Learning

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