This paper presents a novel method for radio map construction that simultaneously interpolates the received signal power values over space and frequency domains. Radio maps can be used to improve spectrum management and for localization systems, which are related to wireless systems in general such as cellular systems, Internet of Things (IoT) networks, and vehicular communications. Researchers have shown that crowdsourcing using spatial interpolation techniques can be used to accurately construct a radio map to improve these applications; however, because of the limitation in the spatial domain, conventional methods can build a radio map for only those frequencies at which sensing can be performed. Our proposed method focuses on the fact that the shadowing values show strong correlation over a wide range of frequency domains. The main idea is to treat the shadowing values obtained over various frequencies as the ones over target frequency. Using the actual datasets obtained over 870, 2115, and 3500 MHz in a cellular system, we show that the proposed method can accurately generate a radio map, even if no (or few) datasets are available in the target frequency.

中文翻译：

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频频内插无线电图

本文提出了一种用于无线电图构建的新方法，该方法可以同时在空间和频域上内插接收到的信号功率值。无线电地图可用于改善频谱管理和定位系统，这些系统通常与诸如蜂窝系统，物联网（IoT）网络和车辆通信之类的无线系统相关。研究人员表明，使用空间插值技术的众包可用于准确构建无线电地图以改善这些应用。然而，由于在空间域上的限制，常规方法只能针对可以执行感测的那些频率构建无线电图。我们提出的方法着重于以下事实：阴影值在很宽的频域范围内显示出很强的相关性。主要思想是将在各种频率下获得的阴影值视为在目标频率上的阴影值。使用在蜂窝系统中通过870、2115和3500 MHz获得的实际数据集，我们表明，即使在目标频率上没有（或很少）数据集，所提出的方法也可以准确地生成无线电图。