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限量采样空间互插评估用于3D无线电环境映射的空间互插评估

Antoni Ivanov¹, Krasimir Tonchev¹, Vladimir Poulkov¹

¹Faculty of Telecommunications, Technical University of Sofia, 1000 Sofia, Bulgaria.

Sensors (Basel, Switzerland)

|November 25, 2023

概括

准确的插值方法对于无线网络中的无线环境地图 (REM) 至关重要. 这项研究评估了室内和无人机场景的3D数据插值,达到9.5dB的最小误差.

科学领域:

无线通信网络是无线通信网络.
频谱共享技术的使用.
无线电环境绘制地图

背景情况:

现代无线网络需要敏捷的频谱共享,因为频谱的密度和多样化越来越大.
无线电环境图 (REM) 对于频谱利用特征和适应性资源分配至关重要.
需要精确的空间插值方法来有效估计REMs.

研究的目的:

为了评估两个已建立的空间插值算法对3D无线电环境数据的性能.
在现实世界室内和室外 (基于无人机) 场景中评估插值准确性.
分析数据采样对3D频谱占用性表征的影响.

主要方法:

在室内使用机械系统收集3D空间数据,在室外使用无人机 (UAV) 收集3D空间数据.
应用了两个既定的插值算法,用于不同高度的2D平面和有限的样本 (感兴趣的区域).
使用Kriging误差标准偏差 (STD) 和测量和估计点之间的距离的STD分析了算法性能.

主要成果:

获得了 -9.5 dB的最小误差,采样比率为21%.
在室内和基于无人机的户外场景之间,性能有所不同.
在插值性能和兴趣区域空间分析方面发现了挑战.

结论:

该研究提供了对不同环境中REMs3D数据插入性能的见解.
结果突出了挑战,并促进了未来3D频谱占用特征的发展.
这些发现适用于室内和基于无人机的无线网络规划和优化.

关键词:

在Kriging中使用Kriging.插值的插值是指一个插值.无线电环境地图无线电环境地图感兴趣的地区.通过体积测量进行测量.

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