Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2019, Vol. 42 ›› Issue (2): 42-49.doi: 10.13190/j.jbupt.2018-209

• Papers • Previous Articles     Next Articles

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

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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