With the global rollout of fifth generation (5G) networks, it is necessary to look beyond 5G and envision 6G networks. 6G networks are expected to have space-air-ground integrated networks, advanced network virtualization, and ubiquitous intelligence. This article presents an artificial intelligence (AI)-native network slicing architecture for 6G networks to enable the synergy of AI and network slicing, thereby facilitating intelligent network management and supporting emerging AI services. AI-based solutions are first discussed across the network slicing life cycle to intelligently manage network slices (i.e., AI for slicing). Then network slicing solutions are studied to support emerging AI services by constructing AI instances and performing efficient resource management (i.e., slicing for AI). Finally, a case study is presented, followed by a discussion of open research issues that are essential for AI-native network slicing in 6G networks.

中文翻译：

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6G 网络的 AI 原生网络切片


随着第五代（5G）网络在全球的推广，有必要超越5G并展望6G网络。 6G网络有望实现天地一体化网络、先进的网络虚拟化、泛在智能。本文提出了一种适用于 6G 网络的人工智能 (AI) 原生网络切片架构，以实现人工智能和网络切片的协同作用，从而促进智能网络管理并支持新兴的人工智能服务。基于人工智能的解决方案首先在整个网络切片生命周期中进行讨论，以智能地管理网络切片（即人工智能切片）。然后研究网络切片解决方案，通过构建AI实例和执行高效的资源管理（即AI切片）来支持新兴的AI服务。最后，介绍了一个案例研究，然后讨论了对于 6G 网络中的 AI 原生网络切片至关重要的开放研究问题。