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AI assisted PHY in future wireless systems: Recent developments and challenges

Authors :
Wei Chen
Ke Xiong
Ruisi He
Fanggang Wang
Gongpu Wang
Bo Ai
Jiayi Zhang
Zhangdui Zhong
Source :
China Communications. 18:285-297
Publication Year :
2021
Publisher :
Institute of Electrical and Electronics Engineers (IEEE), 2021.

Abstract

Nowadays, the rapid development of artificial intelligence (AI) provides a fresh perspective in designing future wireless communication systems. Innumerable attempts exploiting AI methods have been carried out, which results in the state-of-the-art performance in many different areas of wireless communications. In this article, we present the most recent and insightful developments that demonstrate the potentials of AI techniques in different physical layer (PHY) components and applications including channel characterization, channel coding, intelligent signal identification, channel estimation, new PHY for random access in massive machine-type communication (mMTC), massive multiple-input multiple-output (MIMO) power control and PHY resource management. Open challenges and potential future directions are identified and discussed along this research line.

Details

ISSN :
16735447
Volume :
18
Database :
OpenAIRE
Journal :
China Communications
Accession number :
edsair.doi...........e88f137355a6930412f74981fd210e97
Full Text :
https://doi.org/10.23919/jcc.2021.05.019