Frequency Characteristics of Geometry-Based Clusters in Indoor Hall Environment at SHF Bands
Frequency Characteristics of Geometry-Based Clusters in Indoor Hall Environment at SHF Bands
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DOI：
10.1109/access.2019.2920890
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发表时间：
2019-05
期刊：
影响因子：
3.9
通讯作者：
Panawit Hanpinitsak;Kentaro Saito;W. Fan;Johannes Hejselbæk;J. Takada;G. Pedersen
中科院分区：
文献类型：
--
作者：
Panawit Hanpinitsak;Kentaro Saito;W. Fan;Johannes Hejselbæk;J. Takada;G. Pedersen
本文提出了一种基于几何形状的集群频率依赖性在超高频波段，包括3，10，和28 GHz的分析。首先，利用空间交替广义期望最大化算法从实测数据中提取多径分量。然后，基于几何聚类估计使用增强的散射点为基础的KPowerMeans（SPKPM）算法。最后，借助于物理光学讨论了它们的散射强度随频率的变化关系。分析结果表明，在大多数情况下，SPKPM也可以用于获得合理的散射位置在多个频率。此外，在光滑表面上的反射是聚集的主要机制，其中没有频率依赖性，而衍射，散射和遮蔽是频率依赖性的重要原因。假设视线被阻挡，衍射、散射和遮蔽在功率方面占整个信道的30-40%，这是不可忽略的，因此信道在很大程度上依赖于频率。分析结果有望为第五代无线系统的多频信道建模提供重要的见解。
This paper presents an analysis of geometry-based cluster frequency dependency at super-high-frequency bands, including 3, 10, and 28 GHz. First, multipath components were extracted from the measured data by using the space-alternating generalized expectation-maximization algorithm. Then, geometry-based clusters were estimated by using the enhanced scattering point-based KPowerMeans (SPKPM) algorithm. Finally, the frequency dependencies of their scattering intensities were discussed with the assistance of physical optics. The analysis results showed that the SPKPM could also be applied to obtain reasonable scattering locations at multiple frequencies in most cases. In addition, reflection on smooth surfaces was the dominant mechanism of clustering where there was no frequency dependence, whereas diffraction, scattering, and shadowing were significant causes of frequency dependence. Assuming that the line-of-sight is obstructed, diffraction, scattering, and shadowing accounted for 30–40% of the entire channel in terms of power, which was not negligible and thus the channel was largely frequency-dependent. The analysis results are expected to provide crucial insights for multiple-frequency channel modeling for fifth-generation wireless systems.