论文标题
大规模褪色的预编码，以最大化SINR的乘积
Large-Scale Fading Precoding for Maximizing the Product of SINRs
论文作者
论文摘要
本文考虑了大规模褪色的预码设计，以减轻多细胞大型MIMO（多输入多输出）系统的下行链路中的试验污染。在每个相干块中随机相变的视线（LOS）组件在每个相干块中随机相移时，考虑使用空间相关的通道的里奇亚人褪色。大规模褪色的预码重量是基于用户的信噪比加上噪声比率（SINR）的最大化的，这在Max-Min公平和最大化之间提供了良好的平衡。光谱效率（SE）基于频道的缩放最小二乘（LS）估计值，该估计仅利用没有任何矩阵倒置的DeSpred Predot Pilot信号。仿真结果表明，与传统的单层预码相比，两层大规模褪色的预编码几乎可以改善几乎所有用户的SE。
This paper considers the large-scale fading precoding design for mitigating the pilot contamination in the downlink of multi-cell massive MIMO (multiple-input multiple-output) systems. Rician fading with spatially correlated channels are considered where the line-of-sight (LOS) components of the channels are randomly phase-shifted in each coherence block. The large-scale fading precoding weights are designed based on maximizing the product of the signal-to-interference-plus-noise ratios (SINRs) of the users, which provides a good balance between max-min fairness and sum rate maximization. The spectral efficiency (SE) is derived based on the scaled least squares (LS) estimates of the channels, which only utilize the despreaded pilot signals without any matrix inversion. Simulation results show that the two-layer large-scale fading precoding improves the SE of almost all users compared to the conventional single-layer precoding.
