论文标题
多用户大量MIMO检测器中的高性能干扰抑制
High Performance Interference Suppression in Multi-User Massive MIMO Detector
论文作者
论文摘要
在本文中，我们提出了一个新的非线性检测器，在多用户多输入，多重输出（MU-MIMO）系统中具有改进的干扰抑制作用。提出的检测器是以下部分的组合：QR分解（QRD），低复杂性用户在QRD之前进行排序，排序降低（SR）K-最佳方法和最小均方误差（MMSE）预处理。我们的方法的表现优于线性干扰拒绝组合（IRC，MMSE自然）方法在强大干扰和添加性白噪声方案中都具有理想和真实的通道估计。该结果对于具有强烈干扰的场景具有广泛的应用重要性，即，当共同置换的用户在体育场，高速公路，购物中心使用互联网时。为5G Quadriga 2.0的Sige 3D-UMA模型提供了模拟结果，用于16个高度相关的单端na用户，具有64 Antennna QAM16调制的64 Antennna Massive Massive sonsove。将性能与MMSE和其他检测方法进行了比较。
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.
