With the development of IoT in smart cities, the electromagnetic environment (EME) in cities is becoming more and more complex. A full understanding of the characteristics of past spectrum resource utilization is the key to improving the efficiency of spectrum management. In order to explore the characteristics of spectrum utilization more comprehensively, this paper designs an EME portrait model. By checking the statistical information of the spectrum data, including changes in the noise floor and channel utilization in each individual wireless service, the correlation between the spectrum and time or space of different channels and the information is merged into a high-dimensional model through consistency transformation to form the EME portrait. The portrait model is not only convenient for storage and retrieval but also beneficial for transfer and expansion, which will become an important foundation for intelligent electromagnetic spectrum management.

中文翻译：

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基于大数据挖掘的电磁环境肖像

随着智慧城市中物联网的发展，城市中的电磁环境（EME）变得越来越复杂。充分了解过去频谱资源利用的特点是提高频谱管理效率的关键。为了更全面地探索频谱利用的特点，本文设计了一个EME肖像模型。通过检查频谱数据的统计信息，包括每个无线服务的本底噪声和信道利用率的变化，频谱和不同信道的时间或空间之间的相关性，并且该信息通过一致性被合并为一个高维模型转换以形成EME肖像。