Spectrum-prediction-based dynamic spectrum access (DSA) has been considered as a promising approach to meet the higher spectral efficiency, more system throughput, and better network connectivity requirements of 5G Internet of Things (IoT) applications. This article discusses the feasibility of applying spectrum prediction in 5G followed by proposing a 5G architecture supporting the spectrum-prediction-based DSA for IoT users. The prediction techniques, which have critical impacts on the performance of spectrum-prediction-based DSA, are reviewed in this article. The information that can be obtained from prediction is summarized, and the typical impacts of spectrum prediction on DSA are discussed. We also identify and discuss a few open research issues and challenges resulted from applying spectrum prediction for DSA in 5G.

中文翻译：

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通过5G支持物联网应用的频谱预测

基于频谱预测的动态频谱访问（DSA）被认为是一种有前途的方法，可以满足5G物联网（IoT）应用程序更高的频谱效率，更高的系统吞吐量和更好的网络连接要求。本文讨论了在5G中应用频谱预测，然后提出一种5G架构来支持IoT用户基于频谱预测的DSA的可行性。本文将对对基于频谱预测的DSA的性能产生关键影响的预测技术进行综述。总结了可以从预测中获得的信息，并讨论了频谱预测对DSA的典型影响。我们还确定并讨论了一些开放的研究问题，以及因将频谱预测应用于5G中的DSA而引起的挑战。