AI在5G行业专网的应用场景和使能技术  

Application Scenarios and Enabling Technologies of AI in 5G Industry Private Networks

作　　者：牛娇红[1,2] 方琰崴 何伟[1] 马驰容 NIU Jiaohong;FANG Yanwei;HE Wei;MA ChiRong(ZTE Corporation,Nanjing 210012,China;State Key Laboratory of Mobile Network and Mobile Multimedia Technology,Shenzhen 518055,China)

机构地区：[1]中兴通讯股份有限公司,江苏南京210012 [2]移动网络和移动多媒体技术国家重点实验室,广东深圳518055

出　　处：《移动通信》2022年第2期61-66,共6页Mobile Communications

基　　金：国家重点研发计划项目“6G网络架构及关键技术”(2020YFB1806700)。

摘　　要：行业专网是5G网络的重要组成部分,电信运营商通过AI与行业专网应用场景结合实现业务SLA保障和网络优化。面向数字化、智能化的新一代行业专网发展目标,基于行业用户的体验保障和网络安全需求探讨了AI在5G行业专网典型应用场景,分析了基于AI的5G行业专网应用的关键使能技术,包括算力网络、自适应优化AI算法、意图驱动的网络织造、原生多主体群等,构建自适应持续进化的行业专网,为5G行业专网的智能化提供了有效、可行的实现方法。The industry private network is an important part of the 5G network.Telecom operators adopt AI in industry private network application scenarios to achieve service SLA guarantee and network optimization.Aiming at the development goals of a new generation of digital and intelligent industry private networks,based on the experience guarantee of industry users and network security requirements,the typical application scenarios of AI in 5G industry private networks are explored.The key enabling technologies for AI-based 5G industry private network applications,including computing power networks,adaptive optimization AI algorithms,intent-driven network weaving,and native multi-agent groups,are analyzed to build an adaptive and continuous evolution of industry private networks.It provides an effective and feasible implementation method for the intelligentization of the 5G industry private network.

关 键 词：5G AI 行业专网 网络智能化 

分 类 号：TN929.5[电子电信—通信与信息系统]