Programmable virtualized networks decouple data and control planes and have the power of supporting the demands of diverse and varied use cases, allowing the services to scale and adapt dynamically. The diverse demands of Enhanced Mobile Broadband (eMBB), Ultra-Reliable and Low-latency Communications (uRLLC), and massive Machine Type Communications (mMTC) users inevitably increase the network complexity, making programmability alone not sufficient. To fulfill these demands, next generation mobile networks need to respond with the capacity of supporting a greater number of heterogeneous devices, the availability of more spectrum and the introduction of complex protocol stacks, making automated and intelligent tools for management, reconfiguration, adaptation, and coordination of network resources an impelling necessity.

中文翻译：

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客座社论：用于 6G 中开放可编程虚拟化网络的 AI

可编程虚拟化网络将数据和控制平面分离，并具有支持多样化和不同用例需求的能力，允许服务动态扩展和适应。增强型移动宽带 (eMBB)、超可靠和低延迟通信 (uRLLC) 以及海量机器类型通信 (mMTC) 用户的多样化需求不可避免地增加了网络的复杂性，仅靠可编程性是不够的。为了满足这些需求，下一代移动网络需要以支持更多异构设备的能力、更多频谱的可用性和复杂协议栈的引入来响应，从而为管理、重新配置、适应和调整提供自动化和智能的工具。协调网络资源迫在眉睫。