The improved SLM algorithm used in hybrid beamforming architecture

doi:10.7523/j.ucas.2023.015

Abstract

Abstract: In the massive multi-input multi-output system, the peak-to-average power ratio (PAPR) is one of the factors which greatly affect the performance of transmitter. The existing PAPR reduction methods are based on the fully-digital architecture, which can not effectively reduce the PAPR of signal at the transmitting antennas in the hybrid beamforming architecture. To address this problem, an improved selective mapping (SLM) method is proposed, which adopts independent phase rotations to the initial input signal and then calculates the PAPR of signal at the transmitting antennas and finally transmits the sequence with minimum PAPR. Besides, the upper bound and lower bound of PAPR at the transmitting antennas are analyzed. Theoretical analysis and simulation results suggest that the proposed improved SLM can effectively reduce the PAPR of signal at the transmitting antennas in the hybrid beamforming architectures.

Key words: massive multi-input multi-output, hybrid beamforming, peak-to-average power ratio (PAPR), selective mapping (SLM)

CLC Number:

TN92

XIAO Disheng, HU Shicheng, QIAN Hua, KANG Kai, LI Mingqi. The improved SLM algorithm used in hybrid beamforming architecture[J]. Journal of University of Chinese Academy of Sciences, DOI: 10.7523/j.ucas.2023.015.

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