In this paper, we provide a comprehensive survey for the artificial intelligence and spectrum management, which are used for cache-enabled Internet of Things (IoT) in smart cities. In smart cities, there emerge a lot of new applications such as data collection and communication, environment monitoring, and real-time processing, which cannot be supported by the conventional wireless transmission techniques. Hence, some new wireless transmission techniques should be developed to support the emerging applications in smart cities. In this survey, we focus on the artificial intelligence, spectrum management, and caching techniques, where the interference arises due to the limited spectrum resources. In particular, we first review the current research status of these new techniques and, then, give some challenges on the system design. We further provide several feasible solutions on these challenges, in order to implement the IoT networks in smart cities. Finally, we conclude the work in the part of conclusions and give some discussions on the future works.

中文翻译：

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智慧城市缓存物联网的人工智能和频谱管理调查

在本文中，我们对人工智能和频谱管理进行了全面调查，这些技术用于智能城市中启用缓存的物联网 (IoT)。在智慧城市中，出现了大量传统无线传输技术无法支持的数据采集与通信、环境监测、实时处理等新应用。因此，应该开发一些新的无线传输技术来支持智慧城市中的新兴应用。在本次调查中，我们重点关注由于频谱资源有限而产生干扰的人工智能、频谱管理和缓存技术。特别是，我们首先回顾了这些新技术的当前研究状况，然后在系统设计上提出了一些挑战。我们进一步针对这些挑战提供了几种可行的解决方案，以便在智慧城市中实施物联网网络。最后，我们总结了结论部分的工作，并对未来的工作进行了一些讨论。