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Geometry-based channel modelling of MIMO channels in comparison with channel sounder measurements

机译：与通道探测仪测量结果相比，MIMO通道基于几何的通道建模

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In this paper we propose a flexible geometrybasedpropagation model for wireless communications developedat Ilmenau University of Technology. The IlmPropcomprises a geometrical representation of the environmentsurrounding the experiment and a precise representation ofthe transmitting and receiving antennas. The IlmProp iscapable of simulating Multi-User MIMO scenarios and includesa complete collection of tools to analyze the syntheticchannels. In order to assess the potentials as well as the limitsof our channel simulator we reconstruct the scenario encounteredin a recent measurement campaign at Ilmenau Universityof Technology leading to synthetic data sets similar tothe ones actually measured. The measurements have beencollected with the RUSK MIMO multi-dimensional channelsounder. From the comparisons of the two channel matricesit is possible to derive useful information to improve themodel itself and to better understand the physical origins ofsmall-scale fading. In particular the effects of the differentparameters on the synthetic channel have been studied in orderto assess the sensibility of the model. This analysis showsthat the correct positioning of a small number of scatterersis enough to achieve frequency selectiveness as well as specifictraits of the channel statistics. The size of the scatteringclusters, the number of scatterers per cluster, and the RicianK-factor can be modified in order to tune the channel statisticsat will. To obtain higher levels of time variance, movingscatterers or time dependent reflection coefficients must beintroduced.
机译：在本文中，我们提出了由伊尔默瑙工业大学开发的用于无线通信的基于几何的灵活传播模型。 IlmProp包含围绕实验的环境的几何表示以及发射和接收天线的精确表示。 IlmProp能够模拟多用户MIMO场景，并且包括用于分析合成信道的完整工具集合。为了评估渠道模拟器的潜力和局限性，我们重建了伊尔默瑙理工大学最近的一次测量活动中遇到的情况，得出了与实际测量的相似的综合数据集。已使用RUSK MIMO多维通道探听器收集了测量结果。从两个信道矩阵的比较中，可以得出有用的信息，以改进模型本身并更好地理解小规模衰落的物理起源。特别地，已经研究了不同参数对合成通道的影响，以便评估模型的敏感性。分析表明，少量散射的正确定位足以实现频率选择性以及信道统计的特定特征。可以修改散射群集的大小，每个群集的散射数量和Rician K 因子，以便随意调整信道统计信息。为了获得更高水平的时间变化，必须引入移动散射体或与时间相关的反射系数。

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