Computer Science

Computer Science ›› 2023, Vol. 50 ›› Issue (11A): 221200047-5.doi: 10.11896/jsjkx.221200047

• Network & Communication • Previous Articles     Next Articles

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.

PDF (PC)

410

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

CLC Number: 

  • 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.
[1] JIANG Rui, XU Shan-shan, XU You-yun. New Hybrid Precoding Algorithm Based on Sub-connected Structure [J]. Computer Science, 2022, 49(5): 256-261.
[2] LI Hao,CUI Xin-kai,GAO Xiang-chuan. Maximum Likelihood Blind Detection Algorithm Based on Piecewise Gaussian Approximation for Massive MIMO Outdoor Wireless Optical Communication Systems [J]. Computer Science, 2020, 47(3): 255-260.
[3] WANG Peng-fei, ZHANG Hang. Sub-sampling Signal Reconstruction Based on Principal Component Under Underdetermined Conditions [J]. Computer Science, 2019, 46(10): 103-108.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
渝ICP备16013121号-4
Add:18# Honghu West Rd., Yubei ,Chongqing,China    Post Code: 401121
Tel: 023-63500828/023-67039612/023-67039623
E-mail: jsjkx12@163.com
Powered by Beijing Magtech Co., Ltd.