Intelligence Driven Wireless Networks in B5G and 6G Era: A Survey

doi:10.12142/ZTECOM.202403012

ZTE Communications ›› 2024, Vol. 22 ›› Issue (3): 99-105.DOI: 10.12142/ZTECOM.202403012

收稿日期:2024-03-11 出版日期:2024-09-29 发布日期:2024-09-29

Intelligence Driven Wireless Networks in B5G and 6G Era: A Survey

GAO Yin¹^,²(), CHEN Jiajun¹^,², LI Dapeng¹^,²

^1.State Key Laboratory of Mobile Network and Mobile Multimedia Technology, Shenzhen 518055, China
^2.Wireless Product R&D Institute, ZTE Corporation, Shanghai 201203, China

Received:2024-03-11 Online:2024-09-29 Published:2024-09-29
About author:GAO Yin (gao.yin1@zte.com.cn) received her master’s degree in circuit and system from Xidian University, China in 2005. Since 2005, she has been engaged in the study of 4G/5G technology and is currenly a wireless expert and project manager at the research center of ZTE Corporation and the State Key Laboratory of Mobile Network and Mobile Multimedia Technology, China. She has authored or co-authored hundreds of proposals for 3GPP meetings and journal papers in wireless communications and has filed more than 200 patents. She has also worked as 3GPP RAN3 Chair since 2017 and was elected as RAN3 Chair in May 2021.
CHEN Jiajun received his master’s degree in communication engineer from Shanghai University, China in 2019. He is currently a 5G research engineer at the R&D center of ZTE Corporation and the State Key Laboratory of Mobile Network and Mobile Multimedia Technology, China. His research interests include 5G wireless communications and artificial intelligence.
LI Dapeng received his MS degree in computer science from University of Electronic Science and Technology of China in 2003. He is currently a senior researcher at ZTE corporation and mainly focuses on research and implementation of wireless access network systems.
Supported by:
the National Natural Science Foundation of China(62201266);the Natural Science Foundation of Jiangsu Province(BK20210335)

摘要/Abstract

Abstract:

As the wireless communication network undergoes continuous expansion, the challenges associated with network management and optimization are becoming increasingly complex. To address these challenges, the emerging artificial intelligence (AI) and machine learning (ML) technologies have been introduced as a powerful solution. They empower wireless networks to operate autonomously, predictively, on-demand, and with smart functionality, offering a promising resolution to intricate optimization problems. This paper aims to delve into the prevalent applications of AI/ML technologies in the optimization of wireless networks. The paper not only provides insights into the current landscape but also outlines our vision for the future and considerations regarding the development of an intelligent 6G network.

Key words: intelligent network, native AI, load prediction, trajectory prediction

. [J]. ZTE Communications, 2024, 22(3): 99-105.

GAO Yin, CHEN Jiajun, LI Dapeng. Intelligence Driven Wireless Networks in B5G and 6G Era: A Survey[J]. ZTE Communications, 2024, 22(3): 99-105.

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参考文献 18

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