Channel Estimation for IRS Aided MIMO System with Neural Network Solution

被引:0
|
作者
Gu, ZhiJian [1 ]
He, Chunlong [1 ]
Huang, Zanhai [1 ]
Xiao, Ming [1 ]
机构
[1] Shenzhen Univ, Shenzhen, Peoples R China
来源
2023 IEEE 98TH VEHICULAR TECHNOLOGY CONFERENCE, VTC2023-FALL | 2023年
关键词
Intelligent Reflective Surface (IRS); Residual Neural Network; Multiple-Input Multiple-Output (MIMO); Deep learning (DL);
D O I
10.1109/VTC2023-Fall60731.2023.10333685
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Intelligent Reflective Surface (IRS) is a promising technique for Beyond 5G and 6G wireless communications. IRS is comprised of plenty of passive reflecting elements that an external controller is able to control by software. To develop the great potential of IRS-aided wireless communication system, we should get a full understanding of Channel State Information (CSI). However, it's an exceedingly challengeable task for channel estimation in IRS-aided system. In this paper, we propose a residual neural network to achieve cascaded channel estimation for an IRS-aided multiple-input multiple-output (MIMO) communication system. Numerical results prove the effectiveness and high robustness of our Deep Learning (DL) method.
引用
收藏
页数:5
相关论文
共 50 条
  • [41] Pilots Optimization and Surface Area Effects on Channel Estimation in RIS Aided MIMO System
    Aurangzeb, Muhammad Haroon
    Akram, Faisal
    Rashid, Imran
    Ahmed, Attiq
    RADIOENGINEERING, 2023, 32 (02) : 187 - 196
  • [42] Distributed Compressed Sensing Aided Sparse Channel Estimation in FDD Massive MIMO System
    Zhang, Ruoyu
    Zhao, Honglin
    Zhang, Jiayan
    IEEE ACCESS, 2018, 6 : 18383 - 18397
  • [43] Neural network aided design for metering system of power system state estimation
    Abbasy, NH
    1996 CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING - CONFERENCE PROCEEDINGS, VOLS I AND II: THEME - GLIMPSE INTO THE 21ST CENTURY, 1996, : 741 - 744
  • [44] Neural network aided design for metering system of power system state estimation
    Abbasy, NH
    AFRICON '96 - 1996 IEEE AFRICON : 4TH AFRICON CONFERENCE IN AFRICA, VOLS I & II: ELECTRICAL ENERGY TECHNOLOGY; COMMUNICATION SYSTEMS; HUMAN RESOURCES, 1996, : 607 - 610
  • [45] Joint Array Diagnosis and Channel Estimation for RIS-Aided mmWave MIMO System
    Li, Binrui
    Zhang, Zhongpei
    Hu, Zhenzhen
    Chen, Yang
    IEEE ACCESS, 2020, 8 : 193992 - 194006
  • [46] Channel Estimation in a MIMO Relay System: Challenges & Approaches Channel Estimation in MIMO Relay System: A Review
    Kaur, Harmandar
    Khosla, Mamta
    Sarin, R. K.
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON INVENTIVE SYSTEMS AND CONTROL (ICISC 2018), 2018, : 203 - 214
  • [47] Channel Estimation in IRS-Enhanced mmWave System With Super-Resolution Network
    Wang, Yazheng
    Lu, Hancheng
    Sun, Huan
    IEEE COMMUNICATIONS LETTERS, 2021, 25 (08) : 2599 - 2603
  • [48] Data Aided Channel Estimation for Massive MIMO with Pilot Contamination
    Ju, Meiyan
    Xu, Lu
    Jin, Lu
    Huang, David
    2017 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2017,
  • [49] Channel Estimation for RIS-Aided mmWave MIMO Systems
    He, Jiguang
    Leinonen, Markus
    Wymeersch, Henk
    Juntti, Markku
    2020 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2020,
  • [50] On the performance of deep neural network aided channel estimation for underwater acoustic OFDM communications
    Zhang, Yonglin
    Wang, Haibin
    Li, Chao
    Chen, Xi
    Meriaudeau, Fabrice
    OCEAN ENGINEERING, 2022, 259