基于AI算法的5G多接入协同方案及关键技术  

AI-Based 5G Multi-Access Coordination Solution and Key Technologies

作　　者：牛娇红[1,2] 方琰崴 郑兴明[1] 陆光辉 马驰容[1,2] NIU Jiaohong;FANG Yanwei;ZHENG Xingming;LU Guanghui;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1期67-71,83,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：AI是5G Advanced及6G的核心技术之一,它与移动通信网络的深入融合可推动运营商网络向自智化方向演进,提升运营商生产和运营效率,在运营商网络中,多种接入方式将长期共存,需要考虑多接入的协同问题。针对此需求,论述了基于AI算法的5G多接入协同方案,分析了网络全息感知、自适应模型算法、实时闭环验证及隐私保护等关键技术,为多接入/多频点的动态协同提供了有效、可行的实现方法。AI is one of the core technologies of 5G-Advanced and 6G, and the deep integration between AI and mobile communication networks promotes the evolution of operators’ networks toward self-intelligence and improves the efficiency of operators’ production and operation. Multiple access methods will coexist in the operators’ networks for a long time, and operators need to consider the coordination of multiple radio access technologies(RATs). For this requirement, this paper discusses the 5G multiaccess collaboration solution based on AI algorithms, and analyzes key technologies such as network holographic perception, adaptive model algorithm, real-time closed-loop verification, and privacy protection. This work provides an effective and feasible implementation method for multi-access/multi-frequency dynamic collaboration.

关 键 词：5G AI 多接入协同 

分 类 号：TN929.5[电子电信—通信与信息系统]