计算机科学

计算机科学 ›› 2023, Vol. 50 ›› Issue (11A): 221200047-5.doi: 10.11896/jsjkx.221200047

• 网络&通信 • 上一篇    下一篇

毫米波MU-MIMO系统中自适应混合预编码器的设计

薛建彬, 王佳豪   

  1. 兰州理工大学计算机与通信学院 兰州 730050
  • 发布日期:2023-11-09
  • 通讯作者: 王佳豪(wdjxhy0420@hotmail.com)
  • 作者简介:(xuejb@lut.edu.cn)

Design of Adaptive Hybrid Precoder in mmWave MU-MIMO Systems

XUE Jianbin, WANG Jiahao   

  1. School of Computer and Communication,Lanzhou University of Technology,Lanzhou 730050,China
  • Published:2023-11-09
  • About author:XUE Jianbin,born in 1973,Ph.D,professor,Ph.D supervisor.His main research interests include wireless communication theory and technology,information system modeling and simulation,communication network and communication systems and multi-antenna system and technology,mobile edge computing,non-orthogonal multiple access,and D2D technology.
    WANG Jiahao,born in 1998,master.His main research interests include massive MIMO,millimeter wave,and multiple access edge computing.

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摘要： 基于毫米波通信和大规模多输入多输出(Multi-input Multi-output,MIMO)技术,构建了适用于蜂窝车联网(C-V2X)等多用户多数据流场景的毫米波大规模MIMO系统,以降低系统的总功耗、硬件复杂度和计算复杂度。设计一种基于比特流的自适应连接大规模MIMO架构,与其他自适应连接架构相比,所提自适应连接架构在阵列分组更小的情况下,使用的移相器和交换开关更少;并且随着阵列分组数的增加,该架构在毫米波多用户MIMO(MU-MIMO)系统中的功耗逐渐降低。仿真结果表明,在采用该架构的毫米波MU-MIMO-OFDM系统中,随着数据流总数的增加,一些现有混合预编码方案可以获得更高的数据传输速率。

关键词: 自适应连接阵列架构, 大规模多输入多输出, 毫米波, 混合预编码, 数据传输速率

Abstract: Based on millimeter-wave(mmWave) communication and massive multi-input multi-output(MIMO) technology,a massive MIMO system for multi-user and multi-data stream scenarios such as cellular vehicle-to-everything(C-V2X) is constructed to reduce the total power consumption,hardware complexity and computational complexity of the system.For this purpose,a bitstream-based adaptive-connected massive MIMO architecture is designed.Compared with other adaptive-connected architectures,the proposed adaptive-connected architecture uses fewer phase shifters and switching switches with smaller arrays.As the number of arrays increases,the power consumption of the architecture in mmWave multi-user MIMO(MU-MIMO) systems decreases gradually.Simulation results show that in mmWave MU-MIMO-OFDM systems utilizing this architecture,some existing hybrid precoding schemes can achieve higher data transmission rates with the increase of the total number of data streams.

Key words: Adaptive-connected array architecture, Massive MIMO, Millimeter wave(mmWave), Hybrid precoding, Data transmission rate

中图分类号: 

  • TN929.5
[1]XUE X,WANG Y,YANG L,et al.Energy-efficient hybrid precoding for massive MIMO mmWave systems with a fully-adaptive-connected structure[J].IEEE Transactions on Communications,2020,68(6):3521-3535.
[2]HAQIQATNEJAD A,KAYHAN F,OTTERSTEN B.Energy-Efficient Hybrid Symbol-Level Precoding for Large-Scale mmWave Multiuser MIMO Systems[J].IEEE Transactions on Communications,2021,69(5):3119-3134.
[3]YU X,ZHANG J,LETAIEF K B.A hardware-efficient analog network structure for hybrid precoding in millimeter wave systems[J].IEEE Journal of Selected Topics in Signal Processing,2018,12(2):282-297.
[4]PARK S,ALKHATEEB A,HEATH R W.Dynamic subarrays for hybrid precoding in wideband mmWave MIMO systems[J].IEEE Transactions on Wireless Communications,2017,16(5):2907-2920.
[5]JING X,LI L,LIU H,et al.Dynamically connected hybrid pre-coding scheme for millimeter-wave massive MIMO systems[J].IEEE Communications Letters,2018,22(12):2583-2586.
[6]PAYAMI S,GHORAISHI M,DIANATI M.Hybrid beamforming for large antenna arrays with phase shifter selection[J].IEEE Transactions on Wireless Communications,2016,15(11):7258-7271.
[7]PAYAMI S,GHORAISHI M,DIANATI M,et al.Hybridbeamforming with a reduced number of phase shifters for massive MIMO systems[J].IEEE Transactions on Vehicular Technology,2018,67(6):4843-4851.
[8]WU S,WANG C X,ALWAKEEL M M,et al.A general 3-D non-stationary 5G wireless channel model[J].IEEE Transactions on Communications,2017,66(7):3065-3078.
[9]BIAN J,SUN J,WANG C X,et al.A WINNER+ based 3-Dnon-stationary wideband MIMO channel model[J].IEEE Transactions on Wireless Communications,2017,17(3):1755-1767.
[10]HU C,LIU J,LIAO X,et al.A novel equivalent baseband channel of hybrid beamforming in massive multiuser MIMO systems[J].IEEE Communications Letters,2017,22(4):764-767.
[11]WU X,LIU D,YIN F.Hybrid beamforming for multi-user massive MIMO systems[J].IEEE Transactions on Communications,2018,66(9):3879-3891.
[12]NI W,DONG X.Hybrid block diagonalization for massive multiuser MIMO systems[J].IEEE Transactions on Communications,2015,64(1):201-211.
[13]NGUYEN D H N,LE L B,LE-NGOCT,et al.Hybrid MMSE precoding and combining designs for mmWave multiuser systems[J].IEEE Access,2017,5:19167-19181.
[14]ZHANG Y,DU J,CHEN Y,et al.Near-optimal design for hybrid beamforming in mmWave massive multi-user MIMO systems[J].IEEE Access,2020,8:129153-129168.
[15]ZHANG R,ZOU W,WANG Y,et al.Two-Stage Hybrid Beamforming Design for mmWave Multi-User Massive MIMO Systems[C]//2020 IEEE Wireless Communications and Networking Conference Workshops(WCNCW).IEEE,2020.
[16]WANG S,LI Z,HE M,et al.A Joint Hybrid Precoding/Combining Scheme Based on Equivalent Channel for Massive MIMO Systems[J].IEEE Journal on Selected Areas in Communications,2022,40(10):2882-2893.
[17]LYU S,WANG Z,GAO Z,et al.Lattice-based mmWave hybrid beamforming[J].IEEE Transactions on Communications,2021,69(7):4907-4920.
[18]ZHANG Y,LIAN Y,LIU Y,et al.Energy-Efficient Multi-Antenna Hybrid Block Diagonalization Precoding and Combining for MmWave Massive Multi-User MIMO Systems[J].IEEE Transactions on Vehicular Technology,2021,70(10):10461-10476.
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