摘要
针对大范围移动场景下的计算和网络需求,介绍了边缘计算和5G网络的特征,分析了当前边缘计算和网络面临的问题,提出了“MEC-云”智能预加载、网随端动的UPF智能预切换、边随网动的“MEC-MEC”智能预切换等关键技术,基于这些关键技术能从端到端满足大范围移动场景下的低时延业务要求。最后结合大数据和人工智能(Artificial Intelligence,AI)的特点,提出了智能边缘计算网络技术的发展落实需要产业链协同合作的建议。
For the computing and network requirements in the large-scale mobile scenario,this paper introduces some features of edge computing and 5G network,analyzes some problems of current edge computing and network,and puts forward key technologies such as MEC-cloud intelligent pre-loading,UPF intelligent pre-switching with network follow-up operation and MEC-MEC intelligent pre-switching with network follow-up operation.These key technologies can meet the low-latency service requirements of end-to-end mobile scenarios.Finally,based on the characteristics of big data and AI,this paper puts forward collaborative suggestions on how to develop and implement intelligent edge computing network technologies,emphasizing the critical role of industry chain.
作者
陆威
章璐
杜鹏
李立平
史庭祥
杨立
LU Wei;ZHANG Lu;DU Peng;LI Liping;SHI Tingxiang;YANG Li(ZTE Corporation,Nanjing 210012,China;National Key Laboratory of Mobile Network and Mobile Multimedia Technology,Shenzhen 518055,China)
出处
《无线电通信技术》
2022年第3期480-484,共5页
Radio Communications Technology
关键词
多接入边缘计算
人工智能
预加载
预切换迁移
multi-access edge computing
artificial intelligence
pre-loading
pre-switching
