Distortion-less PAPR reduction algorithm for multi-user MIMO system with linear precoding

Abstract High peak-to-average power ratio (PAPR) is a major factor degrading power efficiency of communication systems. In multi-user (MU) multiple-input multiple-output (MIMO) systems, the PAPR becomes even worse since the power efficiency of the system is determined by the transmission stream with the highest PAPR. In this paper, we propose two PAPR reduction algorithms based on linear precoding, which exploit extra degree-of-freedom of the channel state matrix in MU-MIMO systems. The basic idea is to generate candidate output signals by multiplying the input signal with a set of equivalent linear precoding matrices, and find the signal with the lowest PAPR for transmission. The proposed algorithms are distortion-less PAPR reduction algorithms that do not sacrifice the system performance. Comparing to other distortion-less PAPR reduction algorithms, the proposed algorithms do not need to transmit side information, thus comply with existing MU-MIMO systems. Numerical results further validate our designs.

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