Internet of things (IoT) in smart city consists of a diversity of public utility and vertical industry services with extremely different performance requirements. As a key technology of 5G networks, network slicing (NS) is featured to provide distinct virtual networks and differentiated QoS guarantees in a shared infrastructure. Therefore, it becomes necessary to employ intelligent NS management for IoT in smart city. This work proposes a machine learning (ML) driven automatic NS framework which can intelligently scale slice according to network state. The resource preservation and slicing implementation scheme is given to trade off robustness and resource efficiency. Finally, the present study provides preliminary results via simulation and experimentation to justify the effectiveness and efficiency of the presented design.

中文翻译：

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智慧城市中物联网的自动网络切片

智慧城市中的物联网（IoT）由多种公用事业和垂直行业服务组成，性能要求截然不同。作为5G网络的一项关键技术，网络切片（NS）的特点是在共享的基础架构中提供独特的虚拟网络和差异化的QoS保证。因此，有必要在智能城市中将智能NS管理用于物联网。这项工作提出了一种由机器学习（ML）驱动的自动NS框架，该框架可以根据网络状态智能地扩展切片。给出了资源保存和切片实现方案，以权衡鲁棒性和资源效率。最后，本研究通过仿真和实验提供初步结果，以证明所提出设计的有效性和效率。