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A multi channel coupling based approach for the prediction of the channel capacity of MIMO-systems

机译:基于多信道耦合的MIMO系统信道容量预测方法

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When installing Multiple Input Multiple Output (MIMO)-systems, the antenna positioning has a major influence upon the achievable transmission quality. To determine those antenna positions, which maximize the transmission quality, in adequate time, a computer based prediction of the channel capacity is imperative. brbr In this paper, we will show that Ray Tracing, which is a very popular prediction method and well suited for the prediction of transfer functions or power delay profiles, produces unacceptable errors when predicting the channel capacity of MIMO-systems. Furthermore we identify the source of the prediction errors and present a new algorithm, based on an approach known as Multi Channel Coupling (MCC), which avoids this error source. brbr Finally a comparison of the prediction results of our algorithm with prediction results gained with an Image Ray Tracer as well as with measured results is used to show the formidable increasement of prediction accuracy which can be gained by using our algorithm.
机译:当安装多输入多输出(MIMO)系统时,天线定位对可实现的传输质量有重大影响。为了确定在足够的时间内最大化传输质量的那些天线位置,必须基于计算机的信道容量预测。 在本文中,我们将显示光线跟踪(Ray Tracing)是一种非常流行的预测方法,非常适合预测传递函数或功率延迟曲线,在预测MIMO系统的信道容量时会产生无法接受的误差。 。此外,我们基于一种称为多通道耦合(MCC)的方法,确定了预测误差的来源并提出了一种新算法,该算法可避免这种误差来源。 最后,将我们算法的预测结果与使用Image Ray Tracer获得的预测结果以及测量结果进行比较,以显示可以通过使用我们的算法获得的预测精度的惊人提高。

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