A Novel Sampling Method for the Spatial Frequencies of Sinusoid-Based Shadowing Models

Siegfried Klein, Serkan Uygungelen, Christian M. Mueller
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引用次数: 3

Abstract

Careful modeling of the radio channel characteristics is an important issue for system level simulations. While a number of detailed path loss, shadowing and fast fading models can be found in literature, many of them entail large computational efforts and hence lead to long simulation times, or require huge amounts of memory. In this paper, we focus on shadowing models with two-dimensional correlation properties. We present handover performance evaluations as a use case from which requirements to the modeling of the shadow fading are derived. For different implementations of the shadow fading in system level simulations, we discuss their pros and cons and then focus on the sum of sinusoid model proposed by Cai and Giannakis [1]. Our main contribution lies in a new frequency sampling method to determine the coefficients of the sinusoidal waveforms. We show that this new method, denoted as Power Sampling Method (PSM), allows for a significant reduction of the number of sinusoids while the correlation properties of the shadow fading channel are preserved.
基于正弦波的阴影模型空间频率采样新方法
无线电信道特性的精细建模是系统级仿真的一个重要问题。虽然在文献中可以找到许多详细的路径损失,阴影和快速衰落模型,但其中许多模型需要大量的计算工作,因此导致长时间的模拟,或者需要大量的内存。本文主要研究具有二维相关特性的阴影模型。我们将移交性能评估作为一个用例,从该用例中推导出对阴影衰落建模的需求。对于阴影衰落在系统级仿真中的不同实现,我们讨论了它们的优缺点,然后重点讨论了Cai和Giannakis[1]提出的和正弦模型。我们的主要贡献在于一种新的频率采样方法来确定正弦波形的系数。我们表明,这种新方法,被称为功率采样方法(PSM),允许在保留阴影衰落信道的相关特性的同时显著减少正弦波的数量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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