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面向混合波束成形结构的改进SLM算法*

肖迪笙1,2,3, 胡世成1,2,3, 钱骅1,2,3, 康凯1, 李明齐1,2,3†   

  1. 1 中国科学院上海高等研究院 上海 201210;
    2 上海科技大学信息科学与技术学院 上海 201210;
    3 中国科学院大学 北京 100049
  • 收稿日期:2022-11-10 修回日期:2023-02-23 发布日期:2023-03-21
  • 通讯作者: E-mail: limq@sari.ac.cn.
  • 基金资助:
    *国家重点研究发展计划(2020YFB2205603)、国家自然科学基金(61971286)和上海市科学技术委员会科技创新行动计划(19DZ1204300)资助

The improved SLM algorithm used in hybrid beamforming architecture

XIAO Disheng1,2,3, HU Shicheng1,2,3, QIAN Hua1,2,3, KANG Kai1, LI Mingqi1,2,3†   

  1. 1 Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China;
    2 School of Information Science and Technology, ShanghaiTech University, Shanghai 201210, China;
    3 University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2022-11-10 Revised:2023-02-23 Published:2023-03-21

摘要: 在大规模多输入多输出系统中,峰均功率比(PAPR)是影响发射机性能的主要因素之一。传统的PAPR降低方法都是基于全数字编码结构,无法有效地降低混合波束成形结构中发射天线端信号的PAPR。为了解决这一问题,该文提出了一种改进选择性映射(SLM)算法,该方法对输入信号进行独立的相位旋转并计算发射天线端信号的PAPR,最后选取PAPR最小的一组信号进行发送。此外,该文还分析了使用该算法下发射天线端信号PAPR的上界和下界。理论分析与仿真结果显示,该文提出的改进SLM算法能够有效地降低混合波束成形结构发射天线端信号的PAPR。

关键词: 大规模多输入多输出, 混合波束成形, 峰均功率比(PAPR), 选择性映射(SLM)

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)

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