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Spatially-Consistent Human Body Blockage Modeling: A State Generation Procedure

机译:空间 - 一致的人体阻塞建模:状态生成程序

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摘要

Spatial correlation has been recognized by 3GPP as one of the key elements in millimeter-wave (mmWave) channel modeling. Correlated channel behavior is induced by macro objects, such as buildings, as well as by micro objects, including humans around the mmWave receivers. The 3GPP's three-dimensional (3D) spatially consistent channel model designed to capture these phenomena assumes a-priori knowledge of the correlation distance between the receivers. In this paper, we propose a novel spatially-consistent human body blockage state generation procedure, which extends the standardized 3D channel model by 3GPP to capture the correlation between the line-of-sight (LoS) links and the reflected cluster states affected by human body blockage. The proposed model is based on analytical expressions for the conditional link state probability, thus permitting the parametrization of the spatial field of receivers. It also does not require any a-priori information on the correlation distance as the latter is identified explicitly based on the environmental parameters. We compare the results for the proposed model with those obtained with the uncorrelated blockage model and conclude that in many special cases correlation manifests itself in quantitatively different propagation conditions experienced at the nearby receivers.
机译:空间相关已被3GPP识别为毫米波(MMWAVE)信道建模中的关键元素之一。相关信道行为由宏对象(例如建筑物)以及由MMWAVE接收器周围的人类的微量对象引起的。 3GPP的三维(3D)空间一致的频道模型旨在捕获这些现象,假定了对接收器之间的相关距离的先验知识。在本文中,我们提出了一种新型空间 - 一致的人体阻塞状态生成程序,其通过3GPP扩展了标准化的3D信道模型,以捕获视图线(LOS)链路和受人类影响的反射集群状态之间的相关性身体堵塞。所提出的模型基于用于条件链路状态概率的分析表达式,从而允许接收器的空间场的参数化。它还不需要有关相关距离的任何先验信息,因为基于环境参数明确地识别后者。我们将所提出的模型的结果与具有不相关的堵塞模型获得的那些结果进行比较,并得出结论,在许多特殊情况下,相关性在附近接收器的定量不同的传播条件下表现出来。

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