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性别: 男

毕业院校: 北京航空航天大学

学位: 博士

所在单位: 信息与通信工程学院

学科: 通信与信息系统. 信号与信息处理. 电路与系统

办公地点: 创新园大厦A520

联系方式: Tel: 86-0411-84707719 实验室网址: http://wican.dlut.edu.cn

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当前位置: 中文主页 >> 科学研究 >> 论文成果
Energy-Efficient Hybrid Precoding With Low Complexity for mmWave Massive MIMO Systems

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论文类型: 期刊论文

发表时间: 2019-01-01

发表刊物: IEEE ACCESS

收录刊物: SCIE、EI

卷号: 7

页面范围: 95021-95032

ISSN号: 2169-3536

关键字: Millimeter wave communication; MIMO; energy efficiency; complexity theory; hybrid precoding

摘要: Millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) utilizes large antenna arrays and is considered a promising technology for fifth-generation (5G) and beyond wireless communication systems. However, the high-power consumption of the radio-frequency (RF) chains makes it infeasible. To solve this problem, hybrid precoding is proposed, which is a combination of analog and digital precoding. The fully connected architecture hybrid precoding still requires a large number of phase shifters (PSs). The sub-connected architecture can greatly reduce the required power consumption, and however, it cannot obtain a satisfactory achievable rate. To avoid the high energy consumption and obtain a high resolution, we propose a novel partly connected architecture in this paper. In addition, we propose an energy-efficient successive interference cancelation (SIC) hybrid precoding based on the partly connected architecture, which transforms the problem of maximizing the total achievable rate with non-convex constraints into a series of sub-rate optimization problems. Furthermore, a low-complexity energy-efficient SIC hybrid precoding based on the partly connected architecture is developed, which uses the partial singular value decomposition (SVD) to realize the sub-rate optimization and significantly reduce the complexity. Theoretical analysis demonstrates the superiority of the proposed hybrid precoding in terms of complexity. The simulation results indicate that the proposed hybrid precoding algorithms enjoy better energy efficiency and achievable rate performance than some recently proposed hybrid precoding algorithms.

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