Givens rotation based column-wise hybrid precoding for millimeter wave MIMO systems

被引:4
作者
Liu, Fulai [1 ,2 ]
Bai, Xiaoyu [2 ]
Du, Ruiyan [1 ,2 ]
Sun, Zhenxing [2 ]
Kan, Xiaodong [1 ,2 ]
机构
[1] Northeastern Univ Qinhuangdao, Inst Engn Optimizat & Smart Antenna, Qinhuangdao 066009, Hebei, Peoples R China
[2] Northeastern Univ, Sch Comp Sci & Engn, Shenyang 110819, Liaoning, Peoples R China
关键词
Millimeter wave; Hybrid precoding; Constant modulus; Givens rotation; COMMUNICATION; MODEL;
D O I
10.1016/j.dsp.2019.02.013
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Hybrid precoding is a promising technique for millimeter wave (mmWave) large-scale multiple-input multiple-output (MIMO) systems. This paper considers a hybrid precoding architecture which is composed of a reductive digital precoder and a phase-only control radio frequency (RF) precoder, and proposes a Givens rotation based column-wise hybrid precoding algorithm. In the proposed algorithm, the digital precoding matrix and the RF precoding matrix are altematively optimized column by column. For the optimization of the constant modulus RF precoding vector, it is interesting that the optimal solution can be expressed as a product of an arbitrary constant modulus vector and a series of Givens rotation matrices. Accordingly, the original problem is transformed into an unconstrained problem of the Givens rotations, which is easy to be solved. After obtaining the optimal RF precoding vector, the optimal digital precoding vector can be given through the least squares method. Simulation results show that the proposed algorithm can approach the performance of the fully digital precoder effectively and enjoy a higher spectral efficiency than previous works under various channel environments and different system settings. (C) 2019 Elsevier Inc. All rights reserved.
引用
收藏
页码:130 / 137
页数:8
相关论文
共 27 条
  • [1] A Survey on Hybrid Beamforming Techniques in 5G: Architecture and System Model Perspectives
    Ahmed, Irfan
    Khammari, Hedi
    Shahid, Adnan
    Musa, Ahmed
    Kim, Kwang Soon
    De Poorter, Eli
    Moerman, Ingrid
    [J]. IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2018, 20 (04): : 3060 - 3097
  • [2] [Anonymous], 2013, MATRIX COMPUTATIONS
  • [3] [Anonymous], 2018, IEEE WIRELESS COMMUN
  • [4] Balanis C.A., 2006, ANTENNA THEORY, V3rd
  • [5] AXIOMATIZATIONS OF AVERAGE AND A FURTHER GENERALIZATION OF MONOTONIC SEQUENCES
    BIBBY, J
    [J]. GLASGOW MATHEMATICAL JOURNAL, 1974, 15 (MAR) : 63 - 65
  • [6] Channel-Reconstruction-Based Hybrid Precoding for Millimeter-Wave Multi-User MIMO Systems
    Castellanos, Miguel R.
    Raghavan, Vasanthan
    Ryu, Jung H.
    Koymen, Ozge H.
    Li, Junyi
    Love, David J.
    Peleato, Borja
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2018, 12 (02) : 383 - 398
  • [7] Spatially Sparse Precoding in Millimeter Wave MIMO Systems
    El Ayach, Omar
    Rajagopal, Sridhar
    Abu-Surra, Shadi
    Pi, Zhouyue
    Heath, Robert W., Jr.
    [J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2014, 13 (03) : 1499 - 1513
  • [8] Low-complexity approximate iterative LMMSE detection for large-scale MIMO systems
    He, Xiaochen
    Guo, Qinghua
    Tong, Jun
    Xi, Jiangtao
    Yu, Yanguang
    [J]. DIGITAL SIGNAL PROCESSING, 2017, 60 : 134 - 139
  • [9] Hybrid Precoding for Millimeter Wave MIMO Systems: A Matrix Factorization Approach
    Jin, Juening
    Zheng, Yahong Rosa
    Chen, Wen
    Xiao, Chengshan
    [J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2018, 17 (05) : 3327 - 3339
  • [10] Beamforming for Millimeter Wave Communications: An Inclusive Survey
    Kutty, Shajahan
    Sen, Debarati
    [J]. IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2016, 18 (02): : 949 - 973