论文标题

无线电图估计:频谱制图的数据驱动方法

Radio Map Estimation: A Data-Driven Approach to Spectrum Cartography

论文作者

Romero, Daniel, Kim, Seung-Jun

论文摘要

无线电图表征了无线电通信环境中的兴趣数量,例如接收的信号强度和渠道衰减,在地理区域的每个点。无线电图估计通常需要基于空间分布的测量值的插值推断。在本教程文章中,在介绍了无线电图的一些代表性应用之后,讨论了最突出的无线电图估计方法。从简单的回归开始,博览会逐渐研究到更复杂的算法,最终涉及最新技术。为了深入了解这个多功能工具包,还将提供说明性的玩具示例。

Radio maps characterize quantities of interest in radio communication environments, such as the received signal strength and channel attenuation, at every point of a geographical region. Radio map estimation typically entails interpolative inference based on spatially distributed measurements. In this tutorial article, after presenting some representative applications of radio maps, the most prominent radio map estimation methods are discussed. Starting from simple regression, the exposition gradually delves into more sophisticated algorithms, eventually touching upon state-of-the-art techniques. To gain insight into this versatile toolkit, illustrative toy examples will also be presented.

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