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

作　　者：GAO Yin CHEN Jiajun LI Dapeng 

机构地区：[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

出　　处：《ZTE Communications》2024年第3期99-105,共7页中兴通讯技术（英文版）

基　　金：supported in part by the National Natural Science Foundation of China under Grant No.62201266;in part by the Natural Science Foundation of Jiangsu Province under Grant No.BK20210335.

摘　　要：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,ondemand,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.

关 键 词：intelligent network native AI load prediction trajectory prediction 

分 类 号：TN929.5[电子电信—通信与信息系统]