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Linear precoding design for massive MIMO based on the minimum mean square error algorithm

机译:基于最小均方误差算法的大规模MIMO线性预编码设计

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Compared with the traditional multiple-input multiple-output (MIMO) systems, the large number of the transmit antennas of massive MIMO makes it more dependent on the limited feedback in practical systems. In this paper, we study the problem of precoding design for a massive MIMO system with limited feedback via minimizing mean square error (MSE). The feedback from mobile users to the base station (BS) is firstly considered; the BS can obtain the quantized information regarding the direction of the channels. Then, the precoding is designed by considering the effect of both noise term and quantization error under transmit power constraint. Simulation results show that the proposed scheme is robust to the channel uncertainties caused by quantization errors.
机译:与传统的多输入多输出(MIMO)系统相比,大规模MIMO的大量发射天线使其更依赖于实际系统中有限的反馈。在本文中,我们通过最小化均方误差(MSE)来研究具有有限反馈的大规模MIMO系统的预编码设计问题。首先考虑从移动用户到基站(BS)的反馈; BS可以获得关于信道方向的量化信息。然后,通过考虑在发射功率约束下噪声项和量化误差的影响来设计预编码。仿真结果表明,该方案对量化误差引起的信道不确定性具有鲁棒性。

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