Pathloss Modeling and Analysis for Intelligent Reflecting Surface-Assisted Terahertz MIMO Wireless Systems

被引:0
|
作者
Yang, Yuqing [1 ]
Wang, Weimin [1 ]
Wu, Yongle [2 ]
Tang, Bihua [1 ]
Liu, Yuanan [1 ]
Chen, Yen-Sheng
机构
[1] Beijing Univ Posts & Telecommun, Sch Elect Engn, Beijing, Peoples R China
[2] Beijing Univ Posts & Telecommun, Sch Integrated Circuits, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
Compilation and indexing terms; Copyright 2025 Elsevier Inc;
D O I
10.1155/2023/6214342
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this paper, the impact of the intelligent reflecting surface (IRS) on the propagation characteristics is analyzed from the arguments of the physical and electromagnetic characteristics of the channel. Analytical expressions for free-space pathloss are derived based on the terahertz multiple-input multiple-output (MIMO) channel model in different communication scenarios. This calculation method is broadly applicable and is used to characterize pathloss as a function of the configuration of our system model. Numerical results show that setting the phase matrix of IRS based only on the angle of arrival (AoA) and angle of departure (AoD) can significantly reduce the pathloss when the far-field condition is met. However, when the distance between the transceiver and the IRS is the same order of magnitude or less than the side length of the IRS, both direction and distance information are required to configure the IRS. This model provides an insightful consideration in the design of IRS-assisted wireless system.
引用
收藏
页数:9
相关论文
共 50 条
  • [41] Performance analysis of intelligent reflecting surface-assisted mobile wireless networks subjected to generalized Gaussian noise
    Ashraf, Umer
    Begh, Gh. Rasool
    INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2023, 36 (16)
  • [42] Intelligent Reflecting Surface-Assisted Cognitive Radio System
    Yuan, Jie
    Liang, Ying-Chang
    Joung, Jingon
    Feng, Gang
    Larsson, Erik G.
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2021, 69 (01) : 675 - 687
  • [43] Intelligent Reflecting Surface-Assisted Wireless Key Generation for Low-Entropy Environments
    Staat, Paul
    Elders-Boll, Harald
    Heinrichs, Markus
    Kronberger, Rainer
    Zenger, Christian
    Paar, Christof
    2021 IEEE 32ND ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2021,
  • [44] Intelligent Reflecting Surface-Assisted Uplink SCMA System
    Sharma, Sanjeev
    Deka, Kuntal
    Hong, Yi
    Dixit, Dharmendra
    IEEE COMMUNICATIONS LETTERS, 2021, 25 (08) : 2728 - 2732
  • [45] MIMO Detection for Reconfigurable Intelligent Surface-Assisted Millimeter Wave Systems
    Yang, Xi
    Wen, Chao-Kai
    Jin, Shi
    IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2020, 38 (08) : 1777 - 1792
  • [46] Intelligent Reflecting Surface-Assisted Wireless Secret Key Generation against Multiple Eavesdroppers
    Liu, Ya
    Huang, Kaizhi
    Sun, Xiaoli
    Yang, Shaochuan
    Wang, Liang
    ENTROPY, 2022, 24 (04)
  • [47] Convolutional Autoencoder-Based Phase Shift Feedback Compression for Intelligent Reflecting Surface-Assisted Wireless Systems
    Yu, Xianhua
    Li, Dong
    Xu, Yongjun
    Liang, Ying-Chang
    IEEE COMMUNICATIONS LETTERS, 2022, 26 (01) : 89 - 93
  • [48] Ergodic Capacity of Intelligent Reflecting Surface-Assisted Communication Systems With Phase Errors
    Li, Dong
    IEEE COMMUNICATIONS LETTERS, 2020, 24 (08) : 1646 - 1650
  • [49] Compressed Channel Estimation for Intelligent Reflecting Surface-Assisted Millimeter Wave Systems
    Wang, Peilan
    Fang, Jun
    Duan, Huiping
    Li, Hongbin
    IEEE SIGNAL PROCESSING LETTERS, 2020, 27 : 905 - 909
  • [50] Intelligent Reflecting Surface Assisted Terahertz Communications
    Kumar, M. Hemnta
    Sharma, Sanjeev
    Deka, Kuntal
    Bhatia, Vimal
    2022 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATIONS, SPCOM, 2022,