Low-PAPR Precoder Design for Large-Scale MIMO-OFDM Systems

Large-scale multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) has become a promising technology for 5G communication systems. However, existing precoder designs only aim at removing the multiuser interference (MUI) and do not consider the issue of high peak-to-average power ratio (PAPR) caused by multicarrier signals. In this letter, a linear precoding algorithm with low PAPR is proposed for large-scale multiuser MIMO-OFDM systems. The proposed algorithm can not only remove MUI but also reduce the PAPR significantly. Further, to reduce the computational complexity, a suboptimal precoding algorithm is also proposed. Simulation results validate the efficacy of proposed precoding algorithms.