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A Promising Technology for 6G Wireless Networks:Intelligent Reflecting Surface

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Long Wenxuan 1,2   Chen Rui 1,3 *   Moretti Marco 4   Zhang Wei 5   Li Jiandong 1  
文摘 The intelligent information society,which is highly digitized,intelligence inspired,and globally data driven,will be deployed in the next decade.The next 6G wireless communication networks are the key to achieve this grand blueprint,which is expected to connect everything,provide full dimensional wireless coverage and integrate all functions to support full-vertical applications.Recent research reveals that intelligent reflecting surface(IRS)with wireless environment control capability is a promising technology for 6G networks.Specifically,IRS can intelligently control the wavefront,e.g.,the phase,amplitude,frequency,and even polarization by massive tunable elements,thus achieving fine-grained 3-D passive beamforming.In this paper,we first give a blueprint of the next 6G networks including the vision,typical scenarios,and key performance indicators(KPIs).Then,we provide an overview of IRS including the new signal model,hardware architecture,and competitive advantages in 6G networks.Besides,we discuss the potential application of IRS in the connectivity of 6G networks in detail,including intelligent and controllable wireless environment,ubiquitous connectivity,deep connectivity,and holographic connectivity.At last,we summarize the challenges of IRS application and deployment in 6G networks.As a timely review of IRS,our summary will be of interest to both researchers and practitioners engaging in IRS for 6G networks.
来源 Journal of Communications and Information Networks ,2021,6(1):1-16 【核心库】
DOI 10.23919/JCIN.2021.9387701
关键词 6G ; beyond 5G(B5G) ; intelligent radio environment ; reconfigurable metasurface ; intelligent reflecting surface(IRS)
地址

1. Xidian University, State Key Laboratory of ISN, Xi'an, 710071  

2. Dipartimento di Ingegneria dell'Informazione, Italy, Pisa, 56126  

3. Southeast University, National Mobile Communications Research Laboratory, rchen@xidian.edu.cn, Nanjing, 210018  

4. University of Pisa, Dipartimento di Ingegneria dell'Informazione, Italy, Pisa, 56126  

5. School of Electrical Engineering and Telecommunications, The University of New South Wales, Australia, Sydney, 2052

语种 英文
文献类型 研究性论文
ISSN 2096-1081
学科 电子技术、通信技术
基金 Innovation Fund of Xidian University ;  Fundamental Research Funds for the Central Universities ;  supported in part by Open Research Fund of National Mobile Communications Research Laboratory,Southeast University
文献收藏号 CSCD:6932280

参考文献 共 127 共7页

1.  Shafi M. 5G: a tutorial overview of standards, trials, challenges, deployment and practice. IEEE Journal on Selected Areas in Communications,2017,35(6):1201-1221 被引 71    
2.  Wang C X. Cellular architecture and key technologies for 5G wireless communication networks. IEEE Communications Magazine,2014,52(2):122-130 被引 69    
3.  Wu Q. Towards smart and reconfigurable environment: intelligent reflecting surface aided wireless network. IEEE Communications Magazine,2019,58(1):106-112 被引 20    
4.  Wan Z. Broadband channel estimation for intelligent reflecting surface aided mmWave massive MIMO systems. Proceedings of IEEE International Conference on Communications,2020 被引 1    
5.  Yang P. 6G wireless communications: vision and potential techniques. IEEE Network,2019,33(4):70-75 被引 23    
6.  Katz M. 6Genesis flagship program: building the bridges towards 6G-enabled wireless smart society and ecosystem. Proceedings of the IEEE 10th Latin-American Conference on Communications,2018 被引 1    
7.  Huang T. A survey on green 6G network: architecture and technologies. IEEE Access,2019,7:175758-175768 被引 6    
8.  Latva-Aho M. Radio access networking challenges towards 2030,2018 被引 1    
9.  Zong B. 6G technologies: key drivers, core requirements, system architectures, and enabling technologies. IEEE Vehicular Technology Magazine,2019,14(3):18-27 被引 12    
10.  Zhang Z. 6G wireless networks: vision, requirements, architecture, and key technologies. IEEE Vehicular Technology Magazine,2019,14(3):28-41 被引 30    
11.  Tse D. Fundamentals of wireless communication,2005 被引 118    
12.  Rappaport T S. Wireless communications: principles and practice,1996 被引 44    
13.  You X. Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts. Science China Information Sciences,2021,64(1):1-74 被引 20    
14.  Zhao Y. 6G mobile communication network: vision, challenges and key technologies. arXiv: 1905.04983,2019 被引 1    
15.  Yuan Y. Potential key technologies for 6G mobile communications. Science China Information Sciences,2020,63(8):1-19 被引 3    
16.  Tomkos I. Toward the 6G network era: opportunities and challenges. IT Professional,2020,22(1):34-38 被引 4    
17.  Viswanathan H. Communications in the 6G era. IEEE Access,2020,8:57063-57074 被引 8    
18.  Wang P. Intelligent reflecting surface-assisted millimeter wave communications: joint active and passive precoding design. IEEE Transactions on Vehicular Technology,2020 被引 2    
19.  Ning B. Terahertz multi-user massive MIMO with intelligent reflecting surface: beam training and hybrid beamforming. arXiv: 1912.11662,2019 被引 2    
20.  Hu S. The potential of using large antenna arrays on intelligent surfaces. Proceedings of the IEEE 85th Vehicular Technology Conference,2017 被引 1    
引证文献 3

1 陈新颖 面向6G的无人机通信综述 电子与信息学报,2022,44(3):781-789
被引 22

2 孙艳华 智能反射面辅助MIMO系统混合波束赋形算法 北京邮电大学学报,2023,46(3):7-12
被引 0 次

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