In this paper, we propose a new nonlinear detector with improved interference suppression in Multi-User Multiple Input, Multiple Output (MU-MIMO) system. The proposed detector is a combination of the following parts: QR decomposition (QRD), low complexity users sorting before QRD, sorting-reduced (SR) K-best method and minimum mean square error (MMSE) pre-processing. Our method outperforms a linear interference rejection combining (IRC, i.e. MMSE naturally) method significantly in both strong interference and additive white noise scenarios with both ideal and real channel estimations. This result has wide application importance for scenarios with strong interference, i.e. when co-located users utilize the internet in stadium, highway, shopping center, etc. Simulation results are presented for the non-line of sight 3D-UMa model of 5G QuaDRiGa 2.0 channel for 16 highly correlated single-antenna users with QAM16 modulation in 64 antennas of Massive MIMO system. The performance was compared with MMSE and other detection approaches.

中文翻译：

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多用户大规模 MIMO 检测器中的高性能干扰抑制

在本文中，我们提出了一种在多用户多输入多输出 (MU-MIMO) 系统中具有改进干扰抑制的新型非线性检测器。所提出的检测器是以下部分的组合：QR 分解（QRD）、低复杂度用户在 QRD 之前排序、排序减少（SR）K-best 方法和最小均方误差（MMSE）预处理。我们的方法在具有理想和真实信道估计的强干扰和加性白噪声场景中显着优于线性干扰抑制组合（IRC，即 MMSE 自然）方法。该结果对于强干扰场景具有广泛的应用重要性，即当共置用户在体育场、高速公路、购物中心等使用互联网时。 5G QuaDRiGa 2 的非视距 3D-UMa 模型的仿真结果. 0 信道用于 16 个高度相关的单天线用户，在 Massive MIMO 系统的 64 个天线中使用 QAM16 调制。将性能与 MMSE 和其他检测方法进行了比较。