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Robust MMSE Precoding in MIMO Channels With Pre-Fixed Receivers

机译:带有预固定接收器的MIMO信道中的稳健MMSE预编码

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摘要

In this paper, we design robust precoders, under the minimum mean square error (MMSE) criterion, for different types of channel state information (CSI) in multiple-input multiple-output (MIMO) channels. We consider low-complexity pre-fixed receivers that may adapt to the channel but are oblivious to the existence of a precoder at the transmitter. In particular, three types of CSI are taken into account: i) perfect CSI, ii) statistical CSI in the form of mean feedback, and iii) deterministic imperfect CSI assuming that the actual channel is within the neighborhood of a nominal channel, which leads to the worst-case robust design that is the focus of this paper. Interestingly, it is found that, under some mild conditions, the optimal transmit directions, i.e., the left singular vectors of the precoder, are equal to the right singular vectors of the channel, the channel mean, and the nominal channel for perfect CSI, statistical CSI, and the worst-case design, respectively. Consequently, the matrix-valued problems can be simplified to scalar power allocation problems that either admit closed-form solutions or can be efficiently solved by the proposed algorithm.
机译:在本文中,我们在最小均方误差(MMSE)准则下针对多输入多输出(MIMO)信道中的不同类型的信道状态信息(CSI)设计了健壮的预编码器。我们考虑了低复杂度的固定接收器,它们可能适合该信道,但忽略了在发射器处预编码器的存在。特别是要考虑三种类型的CSI:i)完美CSI,ii)均值反馈形式的统计CSI,以及iii)假设实际信道在标称信道的邻域之内的确定性不完美CSI,这将导致最坏情况下的稳健设计,这是本文的重点。有趣的是,发现在某些较温和的条件下,最佳发射方向(即预编码器的左奇异矢量)等于信道的右奇异矢量,信道均值和理想CSI的标称信道,统计CSI和最坏情况的设计。因此,矩阵值问题可以简化为标量功率分配问题,可以采用封闭形式的解决方案,也可以通过提出的算法有效地解决。

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