论文标题
MMWave大量MU-MIMO Systems
Finite-Alphabet Wiener Filter Precoding for mmWave Massive MU-MIMO Systems
论文作者
论文摘要
多用户（MU）预编码的功耗是全数字大型MU多输入多输出（MIMO）基站的主要问题，其中数百个在毫米波（MMWAVE）频率下运行的天线元件。我们建议用有限的Alphabet WF预编码（FAWP）矩阵替换一部分线性Wiener过滤器（WF）预编码矩阵，该矩阵可以使用消耗低功率和面积的低精确硬件。为了最大程度地减少我们方法的性能损失，我们提出了有效计算最能模仿WF预言器的FAWP矩阵的方法。我们的结果表明，即使在现实的MMWave通道中运行时，FAWP矩阵接近无限精确误差率和误差量幅度的性能也只有3位预编码的权重。因此，FAWP是一种有前途的方法，可大大降低全数字MMWave大型MU-MIMO系统中的功耗和硅面积。
Power consumption of multi-user (MU) precoding is a major concern in all-digital massive MU multiple-input multiple-output (MIMO) base-stations with hundreds of antenna elements operating at millimeter-wave (mmWave) frequencies. We propose to replace part of the linear Wiener filter (WF) precoding matrix by a finite-alphabet WF precoding (FAWP) matrix, which enables the use of low-precision hardware that consumes low power and area. To minimize the performance loss of our approach, we present methods that efficiently compute FAWP matrices that best mimic the WF precoder. Our results show that FAWP matrices approach infinite-precision error-rate and error-vector magnitude performance with only 3-bit precoding weights, even when operating in realistic mmWave channels. Hence, FAWP is a promising approach to substantially reduce power consumption and silicon area in all-digital mmWave massive MU-MIMO systems.
