A Path to Smart Radio Environments: An Industrial Viewpoint on Reconfigurable Intelligent Surfaces

被引:88
|
作者
Liu, Ruiqi [1 ,2 ]
Wu, Qingqing [3 ]
Di Renzo, Marco [4 ]
Yuan, Yifei [5 ]
机构
[1] ZTE Corp, Shenzhen, Peoples R China
[2] State Key Lab Mobile Network & Mobile Multimedia, Shenzhen, Peoples R China
[3] Univ Macau, State Key Lab Internet Things Smart City, Macau, Peoples R China
[4] Univ Paris Saclay, CNRS, Cent Supelec, Lab Signaux & Syst, Gif Sur Yvette, France
[5] China Mobile Res Inst, Beijing, Peoples R China
关键词
5G mobile communication; Hardware; Wireless networks; Metasurfaces; Gain; Metamaterials; Costs; WIRELESS COMMUNICATIONS; DESIGN;
D O I
10.1109/MWC.111.2100258
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
With the standardization and commercialization completed in an unforeseen pace for the 5th generation (5G) of wireless networks, researchers, engineers and executives from academia and industry have turned their attention to new candidate technologies that can support the next generation of wireless networks. Reconfigurable intelligent surfaces (RIS), sometimes referred to as intelligent reflecting surfaces (IRS), have been identified as a potential component of future wireless networks, because they can reconfigure the propagation environment by using low-cost passive devices. With the aid of RISs, the coverage of a cell can be expected to increase, and with it the overall throughput of the network. RISs have not only become an attractive research area but have also triggered several collaborative research projects that aim to develop innovative algorithmic solutions and hardware demonstrators and prototypes. At the same time, technical discussions and activities toward standardization have already taken off in some countries. Promoting RISs to be integrated into future commercial networks and to become a commercial success require significant standardization efforts that need to take place at regional-level standards developing organizations (SDO) and international-level SDOs, such as the 3rd Generation Partnership Project (3GPP). While many research papers study how RISs are optimized and what their ultimate performance limits are, little effort has so far been devoted to analyzing the challenges to commercialize RISs and how RISs can be standardized. This article intends to shed some light on RISs from an industrial viewpoint and to provide a roadmap in order to make RISs feasible in industry.
引用
收藏
页码:202 / 208
页数:7
相关论文
共 50 条
  • [1] Overhead-Aware Design of Reconfigurable Intelligent Surfaces in Smart Radio Environments
    Zappone, Alessio
    Di Renzo, Marco
    Shams, Farshad
    Qian, Xuewen
    Debbah, Merouane
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2021, 20 (01) : 126 - 141
  • [2] Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfaces
    Alexandropoulos, George C.
    Stylianopoulos, Kyriakos
    Huang, Chongwen
    Yuen, Chau
    Bennis, Mehdi
    Debbah, Merouane
    PROCEEDINGS OF THE IEEE, 2022, 110 (09) : 1494 - 1525
  • [3] Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How It Works, State of Research, and The Road Ahead
    Di Renzo, Marco
    Zappone, Alessio
    Debbah, Merouane
    Alouini, Mohamed-Slim
    Yuen, Chau
    de Rosny, Julien
    Tretyakov, Sergei
    IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2020, 38 (11) : 2450 - 2525
  • [4] Wireless Fingerprinting Localization in Smart Environments Using Reconfigurable Intelligent Surfaces
    Nguyen, Cam L. Y.
    Georgiou, Orestis
    Gradoni, Gabriele
    di Renzo, Marco
    IEEE ACCESS, 2021, 9 (09): : 135526 - 135541
  • [5] Reconfigurable intelligent surfaces in challenging environments: Underwater, underground, industrial and disaster
    Kisseleff, Steven
    Chatzinotas, Symeon
    Ottersten, Björn
    IEEE Access, 2021, 9 : 150214 - 150233
  • [6] Reconfigurable Intelligent Surfaces in Challenging Environments: Underwater, Underground, Industrial and Disaster
    Kisseleff, Steven
    Chatzinotas, Symeon
    Ottersten, Bjorn
    IEEE ACCESS, 2021, 9 : 150214 - 150233
  • [7] Reconfigurable intelligent surfaces as the key-enabling technology for smart electromagnetic environments
    Bilotti, F.
    Barbuto, M.
    Hamzavi-Zarghani, Z.
    Karamirad, M.
    Longhi, M.
    Monti, A.
    Ramaccia, D.
    Stefanini, L.
    Toscano, A.
    Vellucci, S.
    ADVANCES IN PHYSICS-X, 2024, 9 (01):
  • [8] Quantum-Assisted Combinatorial Optimization for Reconfigurable Intelligent Surfaces in Smart Electromagnetic Environments
    Lim, Qi Jian
    Ross, Charles
    Ghosh, Amitabha
    Vook, Frederick W.
    Gradoni, Gabriele
    Peng, Zhen
    IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2024, 72 (01) : 147 - 159
  • [9] Radio Tomographic Imaging With Reconfigurable Intelligent Surfaces
    Li, Zan
    Dubey, Amartansh
    Shen, Shanpu
    Kundu, Neel Kanth
    Rao, Junhui
    Murch, Ross
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2024, 23 (11) : 15784 - 15797
  • [10] Spotlight on Reconfigurable Intelligent Surfaces [Mobile Radio]
    Casetti, Claudio
    IEEE VEHICULAR TECHNOLOGY MAGAZINE, 2023, 18 (03): : 8 - 14