Reconfigurable Intelligent Surfaces for 6G: Nine Fundamental Issues and One Critical Problem

被引:17
|
作者
Zhang, Zijian [1 ,2 ]
Dai, Linglong [1 ,2 ]
机构
[1] Tsinghua Univ, Dept Elect Engn, Beijing, Peoples R China
[2] Beijing Natl Res Ctr Informat Sci & Technol BNRis, Beijing 100084, Peoples R China
来源
TSINGHUA SCIENCE AND TECHNOLOGY | 2023年 / 28卷 / 05期
基金
欧盟地平线“2020”; 中国国家自然科学基金;
关键词
Reconfigurable Intelligent Surface (RIS); sixth generation mobile system (6G); wireless communications; EFFICIENCY; OPTIMIZATION; NETWORK;
D O I
10.26599/TST.2023.9010001
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Thanks to the recent advances in metamaterials, Reconfigurable Intelligent Surface (RIS) has emerged as a promising technology for future 6G wireless communications. Benefiting from its high array gain, low cost, and low power consumption, RISs are expected to greatly enlarge signal coverage, improve system capacity, and increase energy efficiency. In this article, we systematically overview the emerging RIS technology with the focus on its key basics, nine fundamental issues, and one critical problem. Specifically, we first explain the RIS basics, including its working principles, hardware structures, and potential benefits for communications. Based on these basics, nine fundamental issues of RISs, such as "What's the differences between RISs and massive MIMO?" and "Is RIS really intelligent?", are explicitly addressed to elaborate its technical features, distinguish it from existing technologies, and clarify some misunderstandings in the literature. Then, one critical problem of RISs is revealed that, due to the "multiplicative fading" effect, existing passive RISs can hardly achieve visible performance gains in many communication scenarios with strong direct links. To address this critical problem, a potential solution called active RISs is introduced, and its effectiveness is demonstrated by numerical simulations.
引用
收藏
页码:929 / 939
页数:11
相关论文
共 50 条
  • [31] Reconfigurable intelligent surfaces for smart wireless environments: channel estimation, system design and applications in 6G networks
    Liang, Ying-Chang
    Chen, Jie
    Long, Ruizhe
    He, Zhen-Qing
    Lin, Xianqi
    Huang, Chenlu
    Liu, Shilin
    Shen, Xuemin
    Di Renzo, Marco
    SCIENCE CHINA-INFORMATION SCIENCES, 2021, 64 (10)
  • [32] Reconfigurable intelligent surfaces for smart wireless environments: channel estimation, system design and applications in 6G networks
    Ying-Chang LIANG
    Jie CHEN
    Ruizhe LONG
    Zhen-Qing HE
    Xianqi LIN
    Chenlu HUANG
    Shilin LIU
    Xuemin (Sherman) SHEN
    Marco DI RENZO
    ScienceChina(InformationSciences), 2021, 64 (10) : 52 - 72
  • [33] Reconfigurable intelligent surfaces for smart wireless environments: channel estimation, system design and applications in 6G networks
    Ying-Chang Liang
    Jie Chen
    Ruizhe Long
    Zhen-Qing He
    Xianqi Lin
    Chenlu Huang
    Shilin Liu
    Xuemin Sherman Shen
    Marco Di Renzo
    Science China Information Sciences, 2021, 64
  • [34] Special Issue on Reconfigurable Intelligent Surface for B5G & 6G
    Zhu, Zhengyu
    Pan, Cunhua
    Wu, Qingqing
    Di Renzo, Marco
    Swindlehurst, A. Lee
    Zhao, Yajun
    JOURNAL OF COMMUNICATIONS AND NETWORKS, 2022, 24 (05) : 513 - 517
  • [35] Reconfigurable terahertz metamaterials: From fundamental principles to advanced 6G applications
    Xu, Cheng
    Ren, Zhihao
    Wei, Jingxuan
    Lee, Chengkuo
    ISCIENCE, 2022, 25 (02)
  • [36] Low Cost Efficient Reconfigurable Intelligent Surface (RIS) for 6G Applications
    Kumar, Amitesh
    Chakrabarti, Satyajit
    Singh, Vivek Kumar
    Thomas, K. George
    Rao, P. H.
    2024 IEEE INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION AND INC/USNCURSI RADIO SCIENCE MEETING, AP-S/INC-USNC-URSI 2024, 2024, : 1577 - 1578
  • [37] Design and Implementation Unit Cell for 6G Reconfigurable Intelligent Surface Application
    Kadhim, Jaafar Qassim
    Sallomi, Adheed H.
    INTERNATIONAL JOURNAL OF ONLINE AND BIOMEDICAL ENGINEERING, 2023, 19 (05) : 163 - 171
  • [38] RECONFIGURABLE INTELLIGENT SURFACE FOR LOW-LATENCY EDGE COMPUTING IN 6G
    Dai, Yueyue
    Guan, Yong Liang
    Leung, Kin K.
    Zhang, Yan
    IEEE WIRELESS COMMUNICATIONS, 2021, 28 (06) : 72 - 79
  • [39] Backscatter and Reconfigurable Intelligent Surface-Empowered Wireless Communications in 6G
    Pan, Cunhua
    Di Renzo, Marco
    Yuen, Chau
    Ng, Derrick Wing Kwan
    Basar, Ertugrul
    IEEE VEHICULAR TECHNOLOGY MAGAZINE, 2022, 17 (02): : 14 - 15
  • [40] 6G Wireless Communications and Artificial Intelligence-Controlled Reconfigurable Intelligent Surfaces: From Supervised to Federated Learning
    Zaoutis, Evangelos A.
    Liodakis, George S.
    Baklezos, Anargyros T.
    Nikolopoulos, Christos D.
    Ioannidou, Melina P.
    Vardiambasis, Ioannis O.
    APPLIED SCIENCES-BASEL, 2025, 15 (06):