摘要
面对传统网络优化向"全时"优化转型的过程中,无法及时发现并解决问题的困难,文中提出了一种基于"5G+AICD"的解决方案.该方案在5G模块化设计的硬件基础之上,通过大数据和AI算法开发资源调度微服务.通过云化部署,该方案可根据场景灵活组合、快速适配,通过资源调度微服务将硬件连接成网,形成"随需而动、随需而增"的网络快速调配能力,可为5G toB行业提供弹性快速支撑能力.
Faced with the difficulty of not being able to detect and solve problems in time during the transformation from traditional network optimization to“OurHours”optimization,this paper proposes a solution based on“5G+AICD”.The solution develops resource scheduling microservices through big data and AI algorithms on the basis of the hardware of 5G modular design.Through cloud deployment,the solution can be flexibly combined and quickly adapted according to the scene,and the hardware can be connected into a network through resource scheduling microservices to form a“on-demand,on-demand”network rapid deployment capability,which can provide elastic and fast support for the 5G toB industry.
作者
蔡进林
CAI Jinlin(Fujian Funo Mobile Communication Technology Co.,Ltd.,Fuzhou 350001,China)
出处
《移动信息》
2024年第9期27-29,33,共4页
Mobile Information
