The COST 273 MIMO Channel Model: Three Kinds of Clusters

N. Czink, Claude Oestges
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引用次数: 51

Abstract

The novel COST 273 MIMO channel model is a good candidate for link-level and system-level simulations of multi-antenna communication systems. This geometry-based stochastic channel model is based on the concepts of multipath clusters, allowing for an implementation with low computational effort. The model is suitable to accurately reflect the frequency-selective, time-variant, fully-polarimetric nature of various propagation environments. Having only few external parameters, it is particularly interesting for signal processing engineers wanting to test their algorithms against realistic channels. A current shortcoming of the COST 273 MIMO channel model is its missing parametrisation for a number of scenarios. Particularly, the parametrisation of the cluster parameters is challenging, even more, since three different kinds of clusters are used to model the channel. This paper outlines an approach to consistently parametrise the clusters used in the COST 273 MIMO channel model from representative measurement data.
成本273 MIMO信道模型:三种集群
新型的COST 273 MIMO信道模型是多天线通信系统链路级和系统级仿真的理想选择。这种基于几何的随机信道模型基于多路径集群的概念,允许以低计算量实现。该模型能够准确地反映各种传播环境的频率选择性、时变性和全极化特性。由于只有很少的外部参数,对于想要在现实通道上测试他们的算法的信号处理工程师来说,这是特别有趣的。成本273 MIMO信道模型目前的一个缺点是它在许多情况下缺少参数化。特别是,集群参数的参数化是具有挑战性的,甚至更多,因为三种不同类型的集群被用来模拟通道。本文概述了一种从代表性测量数据一致地参数化成本273 MIMO信道模型中使用的簇的方法。
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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