Reconfigurable Intelligent Surfaces: Channel Characterization and Modeling

被引:61
|
作者
Huang, Jie [1 ,2 ]
Wang, Cheng-Xiang [1 ,2 ]
Sun, Yingzhuo [1 ,2 ]
Feng, Rui [2 ,3 ]
Huang, Jialing [1 ,2 ]
Guo, Bolun [4 ]
Zhong, Zhimeng [5 ]
Cui, Tie Jun [6 ]
机构
[1] Southeast Univ, Sch Informat Sci & Engn, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R China
[2] Purple Mt Labs, Nanjing 211111, Peoples R China
[3] Southeast Univ, Sch Informat Sci & Engn, Nanjing 210096, Peoples R China
[4] Huawei Technol Co Ltd, Wireless Network, Res Dept Beijing R&D Subdivis, Beijing 100085, Peoples R China
[5] Huawei Technol Co Ltd, Wireless Network RAN Res Dept, Shanghai 210206, Peoples R China
[6] Southeast Univ, Sch Informat Sci & Engn, State Key Lab Millimeter Wave, Nanjing 210096, Peoples R China
基金
欧盟地平线“2020”; 中国国家自然科学基金;
关键词
Wireless communication; 6G mobile communication; Wireless sensor networks; Sea measurements; Communication system security; NOMA; Indoor environment; Channel characteristics; channel measurements; channel modeling; reconfigurable intelligent surface (RIS); sixth-generation (6G) wireless communications; PROGRAMMABLE-METASURFACE; WIRELESS COMMUNICATIONS; REFLECTING SURFACES; CAPACITY CHARACTERIZATION; COMMUNICATION-SYSTEM; PERFORMANCE ANALYSIS; PROPAGATION; CHALLENGES; NETWORK; PHYSICS;
D O I
10.1109/JPROC.2022.3186087
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Reconfigurable intelligent surfaces (RISs) are 2-D metasurfaces, which can intelligently manipulate electromagnetic waves by low-cost near passive reflecting elements. RIS is viewed as a potential key technology for the sixth-generation (6G) wireless communication systems mainly due to its advantages in tuning wireless signals, thus smartly controlling propagation environments. In this article, we aim at addressing channel characterization and modeling issues of RIS-assisted wireless communication systems. First, the concept, principle, and potential applications of RIS are given. An overview of RIS-based channel measurements and experiments is presented by classifying frequency bands, scenarios, system configurations, RIS constructions, experiment purposes, and channel observations. Then, RIS-based channel characteristics are studied, including reflection and transmission, the Doppler effect and multipath fading mitigation, channel reciprocity, channel hardening, rank improvement, far field, near field, and so on. RIS-based channel modeling works are investigated, including large-scale path loss models and small-scale multipath fading models. Finally, future research directions related to RIS-assisted channels are also discussed.
引用
收藏
页码:1290 / 1311
页数:22
相关论文
共 50 条
  • [1] Rayleigh Fading Modeling and Channel Hardening for Reconfigurable Intelligent Surfaces
    Bjornson, Emil
    Sanguinetti, Luca
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2021, 10 (04) : 830 - 834
  • [2] Channel Modeling and Analysis of Reconfigurable Intelligent Surfaces Assisted Vehicular Networks
    Kong, Long
    He, Jiguang
    Ai, Yun
    Chatzinotas, Symeon
    Ottersten, Bjorn
    2021 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS), 2021,
  • [3] RECONFIGURABLE INTELLIGENT SURFACES FOR FUTURE WIRELESS NETWORKS: A CHANNEL MODELING PERSPECTIVE
    Basar, Ertugrul
    Yildirim, Ibrahim
    IEEE WIRELESS COMMUNICATIONS, 2021, 28 (03) : 108 - 114
  • [4] Expectation-Maximization Learning for Wireless Channel Modeling of Reconfigurable Intelligent Surfaces
    Vega Sanchez, Jose David
    Urquiza-Aguiar, Luis
    Paredes Paredes, Martha Cecilia
    Javier Lopez-Martinez, F.
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2021, 10 (09) : 2051 - 2055
  • [5] Physical Modeling of Reconfigurable Intelligent Surface for Channel Modeling
    Miao Wei
    Dou Jianwu
    Cui Yijun
    Yang Zhenyu
    China Communications, 2025, 22 (02) : 128 - 142
  • [6] Indoor and Outdoor Physical Channel Modeling and Efficient Positioning for Reconfigurable Intelligent Surfaces in mmWave Bands
    Basar, Ertugrul
    Yildirim, Ibrahim
    Kilinc, Fatih
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2021, 69 (12) : 8600 - 8611
  • [7] Modeling and Optimizing Reconfigurable Intelligent Surfaces in Wireless Environments
    Di Renzo, Marco
    2023 INTERNATIONAL CONFERENCE ON ELECTROMAGNETICS IN ADVANCED APPLICATIONS, ICEAA, 2023, : 490 - 490
  • [8] Reconfigurable Intelligent Surface Physical Model in Channel Modeling
    Liu, Yiping
    Dou, Jianwu
    Cui, Yijun
    Chen, Yijian
    Yang, Jun
    Qin, Fan
    Wang, Yuxin
    ELECTRONICS, 2022, 11 (17)
  • [9] Electromagnetics-Based Channel Model of Reconfigurable Intelligent Surfaces
    Franek, Ondrej
    2023 17TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION, EUCAP, 2023,
  • [10] Channel Estimation With Reconfigurable Intelligent Surfaces--A General Framework
    Swindlehurst, A. Lee
    Zhou, Gui
    Liu, Rang
    Pan, Cunhua
    Li, Ming
    PROCEEDINGS OF THE IEEE, 2022, 110 (09) : 1312 - 1338