一种改进的信号泄露噪声比多用户预编码算法

时分复用(TDD)系统通过信道互异性可以在发送端得到下行信道矩阵。由于上下行信道存在着处理延时，时变信道下，延时带来的信道误差会降低多用户MIMO预编码的系统性能。信道预测在某些情况下能够较好地改善信道误差，但预测误差又会给系统性能带来损失。该文针对预测误差带来的性能损失，提出了一种基于预测误差改进的预编码算法。改进算法根据预测误差的方差对预编码向量进行修正，能够进一步提高系统误码率性能。仿真结果表明，在高车速情况下，该算法比传统的预测预编码算法能带来更大的性能增益。

An Improved Signal-to-Leakage-and-Noise Ratio Multi-User Precoding Algorithm

In Time-Division Duplex (TDD) system, it is possible to obtain downlink channel metrics at the transmitter due to the channel reciprocity. However, there has a disposal delay between uplink channel and downlink channel in TDD systems, the delay will decrease MU-MIMO precoding performance in time-varying channels. System performance can be improved greatly by channel predictor technique, but the channel prediction error will bring the performance loss. An improved MU-MIMO precoding algorithm based on prediction error is proposed in this paper. Precoding vectors are amended by prediction Mean Square Error (MSE) in this method. Simulation results show that the proposed scheme gets more gains over traditional channel prediction scheme, especially in higher vehicle speed scenario.