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Optimal Power Allocation and Training Duration for Uplink Multiuser Massive MIMO Systems With MMSE Receivers

机译:具有MMSE接收器的上行链路多用户大型MIMO系统的最佳功率分配和训练持续时间

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摘要

This paper investigates the optimal training duration and the optimal power allocation for the training and the data transmission that maximize the ergodic sum rate in single-cell uplink massive MIMO with MMSE receivers. Our channel model assumes that each user experiences the same spatial channel correlation. The expression for the ergodic sum rate is obtained in the large system regime where the number of antennas at the base station and the number of users tend to infinity with a fixed ratio. Interestingly, we show that the optimal training duration is equal to and independent of the spatial correlation. We also derive the optimal power allocation that in facts depends on the spatial correlation, the channel coherence interval, and the uplink SNR. We show that more energy should be allocated for the training if the data transmission duration is less than , and vice versa. Moreover, equal power allocation is optimal when. We also obtain an approximation for the optimal power allocation that depends on the mean of the correlation matrix eigenvalues. Numerical simulations show that our results based on the large system approximation are accurate and applicable for finite-size systems. The simulations also show that (1) the resulting ergodic sum rates obtained by employing the optimal power allocation and its approximation are indistinguishable, and (2) the optimal power allocation obtained from the uncorrelated channel model can be applied to the cases involving the correlated channels with indiscernible penalties on the ergodic sum rates.
机译:本文调查了培训的最佳训练持续时间和最佳功率分配以及利用MMSE接收器最大化单单元上行链路大量MIMO中的遍历和速率的数据传输。我们的频道模型假定每个用户遇到相同的空间信道相关性。在大型系统状态下获得遍焦和速率的表达式,其中基站的天线数量和用户数量倾向于以固定比率无穷大。有趣的是,我们表明最佳训练持续时间等于和独立于空间相关性。我们还导出了最佳功率分配,即实际上取决于空间相关,信道相干间隔和上行链路SNR。如果数据传输持续时间小于,反之亦然,我们表明应为培训分配更多的能量。而且,等于电源分配是最佳的。我们还获得了最佳功率分配的近似,这取决于相关矩阵特征值的平均值。数值模拟表明,我们的基于大系统近似的结果是准确的,适用于有限尺寸的系统。仿真还示出了(1)通过采用最佳功率分配和其近似获得的所得到的ergodic和速率难以区分,并且(2)从不相关的信道模型获得的最佳功率分配可以应用于涉及相关信道的情况对ergodic总和率的难以辨认的处罚。

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