Tensor-Train Decomposition-Based Hybrid Beamforming for Millimeter-Wave Massive Multiple-Input Multiple-Output/Free-Space Optics in Unmanned Aerial Vehicles with Reconfigurable Intelligent Surface Networks

被引:1
作者
Zhou, Xiaoping [1 ]
Feng, Pengyan [1 ]
Li, Jiehui [1 ]
Chen, Jiajia [1 ]
Wang, Yang [1 ]
机构
[1] Shanghai Normal Univ, Coll Informat Mech & Elect Engn, Shanghai 200234, Peoples R China
关键词
UAV communication; massive MIMO; tensor; FSO; hybrid beamforming; DESIGN; PERFORMANCE; ALGORITHM; SYSTEMS; MIMO;
D O I
10.3390/photonics10111183
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Unmanned aerial vehicles (UAVs) can support low-cost, highly mobile communications while making it possible to establish dedicated terrestrial networks. To overcome the pointing error (PE) and beam misalignment of millimeter-wave large-scale multiple-input multiple-output/free-space optics (MIMO/FSO) caused by UAV jitter, a millimeter-wave massive MIMO/FSO hybrid beamforming method based on tensor train decomposition is proposed. This approach is used for reconfigurable intelligent surface (RIS) network-assisted UAV millimeter-wave massive MIMO/FSO to improve system spectral efficiency. Firstly, the high-dimensional channel of RIS-assisted millimeter-wave massive MIMO/FSO in UAV is represented as a low-dimensional channel by tensor training decomposition. Secondly, the two-way gated recursive unit attention neural network model can effectively solve the FSO PE caused by UAV jitter, and the fast fading channel and Doppler frequency shift are estimated by the Fast Cyclic Tensor Power Method (FCTPM) based on tensor training decomposition. Finally, the RIS phase shift matrix is optimized by singular value decomposition. The hybrid beamforming and RIS phase-shift matrices were estimated by using the low-complexity phase extraction alternating minimization method to solve the beam misalignment problem. Simulation results show that by using the proposed method, the spectrum utilization rate is improved by 23.6% compared with other methods.
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页数:28
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共 34 条
  • [1] Performance Evaluation of LDPC-Coded Power Series Based Malaga ((M) over dot) Distributed MIMO/FSO Link With M-QAM and Pointing Error
    ANANDKUMAR, D.
    SANGEETHA, R. G.
    [J]. IEEE ACCESS, 2022, 10 : 62037 - 62055
  • [2] Performance Analysis of Power Series based MIMO/FSO Link with Pointing Errors and Atmospheric Turbulence
    AnandKumar, D.
    Sangeetha, R. G.
    [J]. 2021 INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS & NETWORKS (COMSNETS), 2021, : 78 - 81
  • [3] Ansari I.S., 2015, P IEEE 81 VEHICULAR, P1
  • [4] Cao XW, 2018, IEEE INT WORK SIGN P, P111
  • [5] Chauhan AS, 2018, INT CO SIG PROC COMM, P367, DOI 10.1109/SPCOM.2018.8724425
  • [6] A Novel Energy Harvesting Scheme for Mixed FSO-RF Relaying Systems
    Chen, Jianchao
    Yang, Liang
    Wang, Wenjie
    Yang, Hong-Chuan
    Liu, Yuanwei
    Hasna, Mazen O.
    Alouini, Mohamed-Slim
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 68 (08) : 8259 - 8263
  • [7] Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How It Works, State of Research, and The Road Ahead
    Di Renzo, Marco
    Zappone, Alessio
    Debbah, Merouane
    Alouini, Mohamed-Slim
    Yuen, Chau
    de Rosny, Julien
    Tretyakov, Sergei
    [J]. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2020, 38 (11) : 2450 - 2525
  • [8] Passive Beamforming Design for Reconfigurable Intelligent Surface-aided OFDM: A Fractional Programming Based Approach
    Feng, Keming
    Chen, Yijian
    Han, Yu
    Li, Xiao
    Jin, Shi
    [J]. 2021 IEEE 93RD VEHICULAR TECHNOLOGY CONFERENCE (VTC2021-SPRING), 2021,
  • [9] RIS-Assisted Communication Radar Coexistence: Joint Beamforming Design and Analysis
    He, Yinghui
    Cai, Yunlong
    Mao, Hao
    Yu, Guanding
    [J]. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2022, 40 (07) : 2131 - 2145
  • [10] An Investigation of Performance and Diversity Property of Optical Space Shift Keying-Based FSO-MIMO System
    Jaiswal, Anshul
    Abaza, Mohamed
    Bhatnagar, Manav R.
    Jain, Virander Kumar
    [J]. IEEE TRANSACTIONS ON COMMUNICATIONS, 2018, 66 (09) : 4028 - 4042