Deep learning-based channel estimation for wireless ultraviolet MIMO communication systems

被引：1
|
作者：
Zhao, Taifei [1 ,2 ]
Sun, Yuxin [1 ]
Lu, Xinzhe [1 ]
Zhang, Shuang [1 ,2 ]
机构：
[1] Xian Univ Technol, Fac Automat & Informat Engn, Xian 710048, Peoples R China
[2] Xian Key Lab Wireless Opt Commun & Network Res, Xian 710048, Peoples R China
来源：
OPTOELECTRONICS LETTERS | 2024年 / 20卷 / 01期
基金：
中国国家自然科学基金;
关键词：
A; PERFORMANCE; MODEL;
D O I：
10.1007/s11801-024-3069-6
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
To solve the problems of pulse broadening and channel fading caused by atmospheric scattering and turbulence, multiple-input multiple-output (MIMO) technology is a valid way. A wireless ultraviolet (UV) MIMO channel estimation approach based on deep learning is provided in this paper. The deep learning is used to convert the channel estimation into the image processing. By combining convolutional neural network (CNN) and attention mechanism (AM), the learning model is designed to extract the depth features of channel state information (CSI). The simulation results show that the approach proposed in this paper can perform channel estimation effectively for UV MIMO communication and can better suppress the fading caused by scattering and turbulence in the MIMO scattering channel.
引用
收藏
页码：35 / 41
页数：7
相关论文
共 50 条
  • [1] Deep learning-based channel estimation for wireless ultraviolet MIMO communication systems
    Taifei Zhao
    Yuxin Sun
    Xinzhe Lü
    Shuang Zhang
    [J]. Optoelectronics Letters, 2024, 20 : 35 - 41
  • [2] Deep learning-based channel estimation for wireless ultraviolet MIMO communication systems
    ZHAO Taifei
    SUN Yuxin
    Lü Xinzhe
    ZHANG Shuang
    [J]. Optoelectronics Letters, 2024, 20 (01) : 35 - 41
  • [3] Deep Learning-based Channel Estimation for Massive MIMO-OTFS Communication Systems
    Payami, Mostafa
    Blostein, Steven D.
    [J]. 2024 WIRELESS TELECOMMUNICATIONS SYMPOSIUM, WTS, 2024,
  • [4] Deep Learning-Based Channel Estimation for Massive MIMO Systems
    Chun, Chang-Jae
    Kang, Jae-Mo
    Kim, Il-Min
    [J]. IEEE WIRELESS COMMUNICATIONS LETTERS, 2019, 8 (04) : 1228 - 1231
  • [5] Online Deep Learning-Based Channel Estimation for Massive MIMO Systems
    Zhen, Xuanyu
    Lau, Vincent
    [J]. IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2021), 2021,
  • [6] Deep Learning-Based Channel Estimation for Beamspace mmWave Massive MIMO Systems
    He, Hengtao
    Wen, Chao-Kai
    Jin, Shi
    Li, Geoffrey Ye
    [J]. IEEE WIRELESS COMMUNICATIONS LETTERS, 2018, 7 (05) : 852 - 855
  • [7] Deep Learning-Based Beamspace Channel Estimation in mmWave Massive MIMO Systems
    Zhang, Yinghui
    Mu, Yifan
    Liu, Yang
    Zhang, Tiankui
    Qian, Yi
    [J]. IEEE WIRELESS COMMUNICATIONS LETTERS, 2020, 9 (12) : 2212 - 2215
  • [8] Deep Learning-Based Downlink Channel Estimation for FDD Massive MIMO Systems
    Xiang, Bingtong
    Hu, Die
    Wu, Jun
    [J]. IEEE WIRELESS COMMUNICATIONS LETTERS, 2023, 12 (04) : 699 - 702
  • [9] Deep Learning-Based Channel Estimation for Massive MIMO Systems with Pilot Contamination
    Hirose, Hiroki
    Ohtsuki, Tomoaki
    Gui, Guan
    [J]. IEEE Open Journal of Vehicular Technology, 2021, 2 : 67 - 77
  • [10] Deep Learning-Based Channel Quality Estimation in Adaptive Shortwave Communication Systems
    Zhou, Yaru
    Wang, Yu
    Gui, Guan
    Gacanin, Haris
    Sari, Hikmet
    [J]. 2020 12TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP), 2020, : 363 - 368
12345