High Energy Efficiency Dynamic Connected Hybrid Precoding for mmWave Massive MIMO Systems

被引:1
|
作者
Du, Ruiyan [1 ,2 ]
Liu, Huajing [2 ]
Li, Tiangui [2 ]
Liu, Fulai [1 ,2 ]
机构
[1] Northeastern Univ Qinhuangdao, Lab Key Technol Millimeter Wave Large Scale MIMO S, Qinhuangdao 066004, Peoples R China
[2] Northeastern Univ, Sch Comp Sci & Engn, Shenyang 110819, Peoples R China
关键词
energy efficiency; hybrid precoding; ANALOG;
D O I
10.23919/JCC.ea.2021-0882.202401
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
This paper considers a high energy efficiency dynamic connected (HEDC) structure, which promotes the practicability and reduces the power consumption of hybrid precoding system by lowresolution phase shifters (PSs). Based on the proposed structure, a new hybrid precoding algorithm is presented to optimize the energy efficiency, namely, HP-HEDC algorithm. Firstly, via a new defined effective optimal precoding matrix, the problem of optimizing the analog switch precoding matrix is formulated as a sparse representation problem. Thus, the optimal analog switch precoding matrix can be readily obtained by the branch -and -bound method. Then, the digital precoding matrix optimization problem is modeled as a dictionary update problem and solved by the method of optimal direction (MOD). Finally, the diagonal entries of the analog PS precoding matrix are optimized by exhaustive search independently since PS and antenna is one-to-one. Simulation results show that the HEDC structure enjoys low power consumption and satisfactory spectral efficiency. The proposed algorithm presents at least 50% energy efficiency improvement compared with other algorithms when the PS resolution is set as 3 -bit.
引用
收藏
页码:36 / 44
页数:9
相关论文
共 50 条
  • [41] Deep CNN and Equivalent Channel Based Hybrid Precoding for mmWave Massive MIMO Systems
    Bao, Xiaolong
    Feng, Wenjiang
    Zheng, Jiali
    Li, Jingfu
    IEEE ACCESS, 2020, 8 (08): : 19327 - 19335
  • [42] Iterative SDR-based Hybrid Precoding Algorithm for mmWave massive MIMO Systems
    Hajjaj, Moufida
    Mejri, Ameni
    Bouallegue, Ridha
    Hasnaoui, Salem
    2018 26TH INTERNATIONAL CONFERENCE ON SOFTWARE, TELECOMMUNICATIONS AND COMPUTER NETWORKS (SOFTCOM), 2018, : 57 - 61
  • [43] DFT codebook-based hybrid precoding for multiuser mmWave massive MIMO systems
    Yu Huang
    Chen Liu
    Yunchao Song
    Xiaolei Yu
    EURASIP Journal on Advances in Signal Processing, 2020
  • [44] DFT codebook-based hybrid precoding for multiuser mmWave massive MIMO systems
    Huang, Yu
    Liu, Chen
    Song, Yunchao
    Yu, Xiaolei
    EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2020, 2020 (01)
  • [45] Hybrid Precoding for Wideband mmWave MIMO Systems with Partially Dynamic Subarrays Structure
    Yang, Fan
    Wang, Jun-Bo
    Cheng, Ming
    Wang, Jin-Yuan
    Lin, Min
    Cheng, Julian
    ICC 2020 - 2020 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2020,
  • [46] Energy efficiency maximization of massive MIMO systems using RF chain selection and hybrid precoding
    Salman Khalid
    Rashid Mehmood
    Waqas bin Abbas
    Farhan Khalid
    Muhammad Naeem
    Telecommunication Systems, 2022, 80 : 251 - 261
  • [47] Energy efficiency maximization of massive MIMO systems using RF chain selection and hybrid precoding
    Khalid, Salman
    Mehmood, Rashid
    bin Abbas, Waqas
    Khalid, Farhan
    Naeem, Muhammad
    TELECOMMUNICATION SYSTEMS, 2022, 80 (02) : 251 - 261
  • [48] Hybrid MMSE Precoding for mmWave Multiuser MIMO Systems
    Nguyen, Duy H. N.
    Le, Long Bao
    Le-Ngoc, Tho
    2016 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2016,
  • [49] Hybrid Precoding for mmWave Massive MIMO With One-Bit DAC
    Maeng, Sung Joon
    Yapici, Yavuz
    Guvenc, Ismail
    Dai, Huaiyu
    Bhuyan, Arupjyoti
    IEEE COMMUNICATIONS LETTERS, 2020, 24 (12) : 2941 - 2945
  • [50] Hybrid Precoding Design in Multi-User mmWave Massive MIMO Systems for BER Minimization
    Li, Junjie
    Jiang, Yuan
    Zhao, Lei
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2024, 13 (01) : 208 - 212