论文标题
有限的Alphabet MMSE均衡，用于全数字大规模MU-MIMO MMWAVE通信
Finite-Alphabet MMSE Equalization for All-Digital Massive MU-MIMO mmWave Communication
论文作者
论文摘要
我们提出了有限的alphabet均衡，这是一种新的范式，将空间均衡矩阵的条目限制为低分辨率数字，从而可以高通量，低功率和低成本硬件均衡器。为了最大程度地减少此范式的性能损失，我们引入了名望，有限的算法最小均方误差（MMSE）均衡功能缩写，这能够显着超过线性MMSE矩阵的天真量化。我们开发有效的算法来近似解决NP-HARD的名声问题，并展示了仅均衡系数可以实现近乎最佳的性能，仅量化为仅1-3位的大量多用户多用户多输入多输入（MU-MIMO）毫米 - 毫米 - 毫米 - 毫米波（MMMWAVE）系统。我们提供了非常大的量表集成（VLSI）结果，该结果表明，均衡功率和面积的降低至少为3.9倍和5.8倍。
We propose finite-alphabet equalization, a new paradigm that restricts the entries of the spatial equalization matrix to low-resolution numbers, enabling high-throughput, low-power, and low-cost hardware equalizers. To minimize the performance loss of this paradigm, we introduce FAME, short for finite-alphabet minimum mean-square error (MMSE) equalization, which is able to significantly outperform a naive quantization of the linear MMSE matrix. We develop efficient algorithms to approximately solve the NP-hard FAME problem and showcase that near-optimal performance can be achieved with equalization coefficients quantized to only 1-3 bits for massive multi-user multiple-input multiple-output (MU-MIMO) millimeter-wave (mmWave) systems. We provide very-large scale integration (VLSI) results that demonstrate a reduction in equalization power and area by at least a factor of 3.9x and 5.8x, respectively.
