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AI Assisted PHY in Future Wireless Systems: Recent Developments and Challenges 被引量:1

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摘要 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.
出处 《China Communications》 SCIE CSCD 2021年第5期285-297,共13页 中国通信(英文版)
基金 the Fundamental Research Funds for the Central Universities(2020JBM090,2020JBZD005) National Key R&D Program of China(2018YFE0207600,2020YFB1807201) the Key-Area Research and Development Program of Guangdong Province(2019B010157002) the Natural Science Foundation of China(61671046,61911530216,6196113039,U1834210) the Beijing Natural Science Foundation(L202019) the State Key Laboratory of Rail Traffic Control and Safety(RCS2021ZZ004,RCS2020ZT010)of Beijing Jiaotong University NSFC Outstanding Youth Foundation under Grant 61725101 the Royal Society Newton Advanced Fellowship under Grant NA191006.
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