摘要
5G作为万物互联新时代的关键基础设施,智能化是其重要发展方向。在5G-Advanced(简称5G-A)阶段,核心网运行智能通过AI技术与网络运行机制深度融合,可显著提升网络效率,实时感知并精准保障多样化业务需求。面向5G-A网络,重点介绍了核心网运行智能总体架构、关键技术及应用。首先,分析了5GA核心网运行发展趋势并阐述重点智能应用;其次,提出了“四层四维”核心网运行智能架构,包括智能分析中心层、控制面智能内生层、边缘实时推理层、端侧轻量推理层共4层,可实时定制化采集切片、网元、用户和业务流4个维度,提供数据感知、训练、推理等智能分析服务;再次,介绍了核心网运行智能5项关键技术和能力;最后,聚焦于核心网运行智能典型业务需求,深入分析并总结了相关解决方案及其效果,为5G-A核心网智能化的应用和落地提供了新思路。
5G serves as the pivotal infrastructure for the emerging era of the Internet of everything,with intelligentization being its crucial direction.In the 5G-Advanced(5G-A)phase,AI enabled core network running can substantially enhance network efficiency,facilitate real-time perception,and precisely cater to diversified service demands through the deep integration of AI technology and network running mechanisms.For the 5G-A network,the overall intelligent architecture,key technologies,and applications of AI enabled core network operations were highlighted.Firstly,the development trend of AI enabled 5G-A core network running was analyzed and key intelligent applications were elaborated.Secondly,AI enabled core network running architecture combining four layers and four dimensions was proposed,encompassing a central intelligent analysis layer,a control plane intelligent endogenous layer,an edge realtime inference layer,and an on-device lightweight inference layer.This architecture enables customized,real-time data collection across four dimensions:slices,network elements,users,and service flows,thereby offering intelligent analysis services such as data perception,training,and inference.Then,five key technologies and capabilities of AI enabled core network running were introduced.Finally,focusing on the typical service requirements of AI enabled core network running,the relevant solutions and their results were analyzed and summarized,thus providing new ideas for the application and implementation of 5G-A core network intelligence.
作者
史嫄嫄
魏彬
李爱华
胥铭
张煜民
沈珅
孟晗
姜宇
刘乐
SHI Yuanyuan;WEI Bin;LI Aihua;XU Ming;ZHANG Yumin;SHEN Shen;MENG Han;JIANG Yu;LIU Le(China Mobile Research Institute,Beijing 100053,China)
出处
《电信科学》
北大核心
2024年第12期146-162,共17页
Telecommunications Science
