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Sum-Rate and Power Scaling of Massive MIMO Systems With Channel Aging

机译:具有信道老化的大规模MIMO系统的总速率和功率缩放

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This paper investigates the achievable sum-rate of massive multiple-input multiple-output (MIMO) systems in the presence of channel aging. For the uplink, by assuming that the base station (BS) deploys maximum ratio combining (MRC) or zero-forcing (ZF) receivers, we present tight closed-form lower bounds on the achievable sum-rate for both receivers with aged channel state information (CSI). In addition, the benefit of implementing channel prediction methods on the sum-rate is examined, and closed-form sum-rate lower bounds are derived. Moreover, the impact of channel aging and channel prediction on the power scaling law is characterized. Extension to the downlink scenario and multicell scenario is also considered. It is found that, for a system with/without channel prediction, the transmit power of each user can be scaled down at most by (where is the number of BS antennas), which indicates that aged CSI does not degrade the power scaling law, and channel prediction does not enhance the power scaling law; instead, these phenomena affect the achievable sum-rate by degrading or enhancing the effective signal to interference and noise ratio, respectively.
机译:本文研究了在存在信道老化的情况下大规模多输入多输出(MIMO)系统的可实现总速率。对于上行链路,通过假设基站(BS)部署最大比合并(MRC)或迫零(ZF)接收器,我们为两个具有老化信道状态的接收器在可实现的总速率上给出了严格的封闭形式下限信息(CSI)。另外,研究了对总速率执行信道预测方法的好处,并得出了封闭形式的总速率下限。此外,表征了信道老化和信道预测对功率缩放定律的影响。还考虑了对下行链路场景和多小区场景的扩展。发现,对于具有/不具有信道预测的系统,每个用户的发射功率最多可以按比例缩小(其中BS天线的数量),这表明老化的CSI不会降低功率缩放定律,信道预测并不能增强功率定律;相反,这些现象分别通过降低或增强有效信噪比和噪声比来影响可达到的总速率。

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