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Channel models for capacity evaluation of MIMO handsets in data mode

机译:用于数据模式下MIMO手机容量评估的信道模型

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摘要

This study investigates different correlation based models useful for evaluation of outage capacity (OC) of mobile multiple-input and multiple-output (MIMO) handsets. The work is based on a large measurement campaign in a micro-cellular setup involving two dual-band base stations (BSs), 10 different handsets in an indoor environment for different use cases and test users. Several models are evaluated statistically, comparing the OC values estimated from the model and measurement data, respectively, for about 2700 measurement routes. The models are based on either estimates of the full correlation matrices or simplifications. Among other results, it is shown that the OC can be predicted accurately (median error typically within 2.6%) with a model assuming knowledge only of the Tx-correlation coefficient and the mean power gain.
机译:这项研究调查了不同的基于相关性的模型,这些模型可用于评估移动多输入和多输出(MIMO)手机的停电容量(OC)。这项工作基于微蜂窝设置中的大型测量活动,该设置涉及两个双频基站(BS),在室内环境中针对不同用例和测试用户的10种不同手机。对几个模型进行统计评估,比较分别从该模型和测量数据估计的OC值,用于大约2700条测量路线。这些模型基于完全相关矩阵的估计或简化。在其他结果中,表明可以使用仅了解Tx相关系数和平均功率增益的模型来准确预测OC(平均误差通常在2.6%以内)。

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