北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2019, Vol. 42 ›› Issue (2): 42-49.doi: 10.13190/j.jbupt.2018-209

• 论文 • 上一篇    下一篇

毫米波Massive-MIMO系统中基于GMD的混合预编码

李民政1,2,3, 丁健1   

  1. 1. 桂林电子科技大学 计算机与信息安全学院, 桂林 541004;
    2. 上海电机学院 电子信息学院, 上海 201306;
    3. 广西信息科学实验中心, 桂林 541004
  • 收稿日期:2018-09-13 出版日期:2019-04-28 发布日期:2019-04-09
  • 通讯作者: 丁健(1992-),男,硕士生,E-mail:394917098@qq.com. E-mail:394917098@qq.com
  • 作者简介:李民政(1972-),男,教授.
  • 基金资助:
    国家自然科学基金项目(61362007);广西信息科学实验中心项目(YB1407);广西可信软件重点实验室基金项目(KX201414)

Hybrid Precoding Method Based on Geometric Mean Decomposition for Millimeter Wave Massive MIMO

LI Min-zheng1,2,3, DING Jian1   

  1. 1. School of Computer and Information Security, Guilin University of Electronic Technology, Guilin 541004, China;
    2. School of Electronic Information Engineering, Shanghai Dianji University, Shanghai 201306, China;
    3. Guangxi Information Science Research Centre, Guilin 541004, China
  • Received:2018-09-13 Online:2019-04-28 Published:2019-04-09

摘要: 提出一种毫米波大规模多输入多输出(MIMO)系统中基于几何均值分解(GMD)的混合预编码方案.通过GMD处理将信道分解为等增益的子信道,以简化编解码复杂度.在此基础上,推导出基于GMD的系统频效优化目标函数解析式;然后根据基追踪原理和最小二乘法分别设计模拟预编码和数字预编码;最后通过相应的优化算法得到系统频效的优化解.数值仿真结果表明,提出的基于GMD的混合预编码方法与正交匹配追踪的方案相比,能明显降低系统编解码复杂度,并提高系统频效.

关键词: 几何均值分解, 频效, 混合预编码, 系统复杂度

Abstract: In millimeter wave massive multiple input multiple output (MIMO) systems, a hybrid precoding scheme based on geometric mean decomposition (GMD) was presented. In the proposed scheme, the channel was decomposed into multiple equal-gain subchannels by means of GMD to simplify the complexity of encoding and decoding. Based on it, the analytical expression of the objective function of system spectrum efficiencyoptimization was derived. And then the hybrid precoding was designed according to the basic tracking principle and the least square method. Finally, the optimal theoretical value of the system spectrum efficiency was obtained by the proposed algorithm. The numerical simulation results show that the proposed scheme has the advantages on reducing system complexity and improving system spectrum efficiency compared with the design scheme based on orthogonal matching pursuit.

Key words: geometric mean decomposition, spectrum efficiency, hybrid precoding, system complexity

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