Dealing with nonlinear effects of the radio-frequency(RF) chain is a key issue in the realization of very large-scale multi-antenna (MIMO) systems. Achieving the remarkable gains possible with massive MIMO requires that the signal processing algorithms systematically take into account these effects. Here, we present a computationally efficient linear precoding method satisfying the requirements for low peak-to-average power ratio (PAPR) and low-resolution D/A-converters (DACs). The method is based on a sparse regularization of the precoding matrix and offers advantages in terms of precoded signal PAPR as well as processing complexity. Through simulation, we find that the method substantially improves conventional linear precoders.
翻译:处理无线电-频率链的非线性影响是实现大规模多防系统(MIMO)的一个关键问题。实现大型MIMO可能取得的显著收益要求信号处理算法系统地考虑到这些效应。在这里,我们提出一种计算高效的线性预编码方法,满足低峰-平均功率比率(PARP)和低分辨率D/A-对流器(DACs)的要求。这种方法基于对预先编码矩阵的细小正规化,在预先编码的PAPPR信号和处理复杂性方面提供了优势。通过模拟,我们发现该方法大大改进了常规的线性预编码器。