6G networks are expected to provide instant global connectivity and enable the transition from “connected things” to “connected intelligence,” where promising network slicing can play an important role in network assurance and service provisioning for various demanding vertical application scenarios. On the basis of diversified massive data, artificial intelligence (AI)-assisted techniques are widely considered more suitable than traditional models and algorithms to deal with challenges faced by complex and dynamic slicing problems in 6G. In view of this, we provide a tutorial on AI-assisted 6G network slicing for network assurance and service provisioning, aiming to show the prospect of 6G slicing and the advantages of applying AI technology. Specifically, we propose six typical characteristics of 6G network slicing, analyze the feasibility of AI from different network domains and technical aspects, propose a case study on AI-assisted bandwidth scaling, and, finally, put forward the main challenges and open issues for its future development.

中文翻译：

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人工智能辅助网络切片：6G网络保障和服务提供


6G网络预计将提供即时的全球连接，并实现从“物联”到“智联”的转变，其中有前途的网络切片可以在各种要求苛刻的垂直应用场景的网络保障和服务提供中发挥重要作用。基于多样化海量数据，人工智能辅助技术被广泛认为比传统模型和算法更适合应对6G中复杂、动态切片问题所面临的挑战。鉴于此，我们提供了AI辅助6G网络切片用于网络保障和业务发放的教程，旨在展示6G切片的前景以及应用AI技术的优势。具体来说，我们提出了6G网络切片的六大典型特征，从不同网络领域和技术层面分析了人工智能的可行性，提出了人工智能辅助带宽扩展的案例研究，最后提出了其面临的主要挑战和未解决的问题。未来的发展。