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Modelling the Relative MIMO Gain

机译:建模相对MIMO增益

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摘要

The Relative MIMO Gain (RMG) is introduced as the ratio of the Multiple Input/Multiple Output capacity of a radio channel over its Single Input/Single Output one. In this paper, a statistical model is developed to approximate the distribution of the RMG, so that it can easily be incorporated into system-level simulators. A set of scenarios has been defined with different antenna configurations, for distances between 10 and 2 400m. The different antenna configurations range between 2 and 16 transmit and/or receive elements. The distribution of the RMG, presented here, is extracted from simulation results. The distribution of the RMG is modelled by an inverse Sigmoid function, which is determined by its mean value and standard deviation. The obtained model is assessed by simulation results, which shows a good fit for most of the cases. The model has a relative mean error of less than 6%, and a relative mean square error of less than 7.5%, for all antenna configurations and distances, compared to the simulation results.
机译:相对MIMO增益(RMG)是作为无线信道的多输入/多输出容量与其单输入/单输出之一的比值引入的。在本文中,开发了一种统计模型来近似RMG的分布,以便可以轻松地将其合并到系统级模拟器中。对于不同的天线配置,已经定义了一组场景,距离在10到2400m之间。不同的天线配置范围在2到16个发射和/或接收元件之间。此处呈现的RMG分布是从仿真结果中提取的。 RMG的分布通过反Sigmoid函数建模,该函数由SMG的平均值和标准偏差确定。通过仿真结果对获得的模型进行评估,结果表明该模型非常适合大多数情况。与仿真结果相比,对于所有天线配置和距离,该模型的相对平均误差均小于6%,相对均方误差小于7.5%。

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