论文标题
上行链路通道估计精度的理论性能结合了大量MIMO
Theoretical Performance Bound of Uplink Channel Estimation Accuracy in Massive MIMO
论文作者
论文摘要
在本文中，我们提出了一个新的性能，以供大量多重输入多数输出（MIMO）系统中的上行链路通道估计（CE）精度。提出的方法基于CE单元之后的噪声功率预测。由于考虑了更多的统计数据，因此我们的方法优于众所周知的Cramer-Rao下限（CRLB）的准确性，因为性能强烈取决于它们之间的许多通道水龙头和功率比。为5G Quadriga 2.0通道的非线（NLOS）3D-UMA模型提供了仿真结果，并与CRLB和最先进的CE算法进行了比较。
In this paper, we present a new performance bound for uplink channel estimation (CE) accuracy in the Massive Multiple Input Multiple Output (MIMO) system. The proposed approach is based on noise power prediction after the CE unit. Our method outperforms the accuracy of a well-known Cramer-Rao lower bound (CRLB) due to considering more statistics since performance strongly depends on a number of channel taps and power ratio between them. Simulation results are presented for the non-line of sight (NLOS) 3D-UMa model of 5G QuaDRiGa 2.0 channel and compared with CRLB and state-of-the-art CE algorithms.
