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Slicing the shadowing uncertainty: A measurement-based critical study of spatially correlated Gaussian models of shadow fading

机译:切片阴影不确定性:阴影褪色的空间相关高斯模型的基于测量的关键研究

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We report results from extensive measurements based study to understand the shadow fading correlations. We have particularly studied and analyzed common assumptions done in literature for shadow fading, which is typically modeled as a spatially correlated Gaussian random process in the logarithmic scale. We show that these assumptions, starting from the Gaussianity of the radio propagation environment, do not always hold. We then discuss the assumptions regarding spatial correlations, usually taken to depend only on the distance between the points and assuming that these correlations remain the same throughout the area under consideration. This is done by comparing received power measurements for two different propagation environments, an urban and a sub-urban one, against simulated values based on typical theoretical assumptions. We conclude by explaining how these assumptions should be carefully taken into account and how they can affect simulation results and the performance of applications.
机译:我们向基于广泛的测量的研究报告结果以了解阴影衰落相关性。我们特别研究和分析了在阴影衰落中的文献中完成的常见假设,其通常在对数标度中被建模为空间相关的高斯随机过程。我们展示了从无线电传播环境的高斯性开始的这些假设,并不总是保持。然后,我们讨论关于空间相关的假设,通常仅取决于点之间的距离,并假设这些相关性在所考虑的区域中保持不变。这是通过比较来自两个不同传播环境,城市和子城市的电力测量来完成基于典型理论假设的模拟值来完成的。我们通过解释如何仔细考虑这些假设以及它们如何影响模拟结果和应用的性能。

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