Reconfigurable Intelligent Surface-Assisted Localization: Technologies, Challenges, and the Road Ahead

被引:16
|
作者
Ma, Teng [1 ]
Xiao, Yue [1 ]
Lei, Xia [1 ]
Zhang, Lechen [1 ]
Niu, Yun [1 ]
Karagiannidis, George K. [2 ,3 ]
机构
[1] Univ Elect Sci & Technol China, Natl Key Lab Sci & Technol Commun, Chengdu 611731, Sichuan, Peoples R China
[2] Aristotle Univ Thessaloniki, Dept Elect & Comp Engn, Thessaloniki 54636, Greece
[3] Lebanese Amer Univ, Cyber Secur Syst & Appl Res Ctr, Beirut 11022801, Lebanon
来源
IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY | 2023年 / 4卷
基金
美国国家科学基金会;
关键词
Reconfigurable intelligent surface; smart radio environment; localization; positioning; sixth-generation (6G); NEAR-FIELD LOCALIZATION; CHANNEL ESTIMATION; WIRELESS COMMUNICATION; BEAMFORMING DESIGN; FINGERPRINTING LOCALIZATION; MASSIVE MIMO; LOCATION; SYSTEMS; OPPORTUNITIES; TRANSMISSION;
D O I
10.1109/OJCOMS.2023.3292052
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
Owing to the breakthrough of artificial meta-materials, the emergence and evolution of reconfigurable intelligent surface (RIS) have drawn a novel blueprint for the development of the sixth-generation (6G) wireless networks, through the creation of smart radio environment to meet the requirement of ubiquitous connectivity. Meanwhile, the vision for the 6G illuminates the integration of sensing and communication, bringing out a demand for both high-quality communication and high-precision localization. Therefore, regarding the future wireless localization, the potential of RIS to tag the signals provides additional degrees of freedom. To this end, to fulfil the increasing demands for positioning, RIS has drawn a growing amount of research both from academia and industry. In this paper, we first introduce the emerging investigations and development of RIS, and we give a concise summary of the localization principles. Then we explain the potential of RIS in localization, and provide a comprehensive survey of the current state of research on RIS-assisted localization. Finally, we discuss the most significant research challenges to tackle for RIS-aided localization in the future.
引用
收藏
页码:1430 / 1451
页数:22
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