Channel Estimation for RIS Assisted Wireless Communications-Part I: Fundamentals, Solutions, and Future Opportunities
The reconfigurable intelligent surface (RIS) with low hardware cost and energy consumption has been recognized as a potential technique for future 6G communications to enhance coverage and capacity. To achieve this goal, accurate channel state information (CSI) in RIS assisted wireless communication...
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| Veröffentlicht in: | IEEE communications letters Jg. 25; H. 5; S. 1398 - 1402 |
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| Hauptverfasser: | , , |
| Format: | Journal Article |
| Sprache: | Englisch |
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New York
IEEE
01.05.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 1089-7798, 1558-2558 |
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| Abstract | The reconfigurable intelligent surface (RIS) with low hardware cost and energy consumption has been recognized as a potential technique for future 6G communications to enhance coverage and capacity. To achieve this goal, accurate channel state information (CSI) in RIS assisted wireless communication system is essential for the joint beamforming at the base station (BS) and the RIS. However, channel estimation is challenging, since a large number of passive RIS elements cannot transmit, receive, or process signals. In the first part of this invited paper, we provide an overview of the fundamentals, solutions, and future opportunities of channel estimation in the RIS assisted wireless communication system. It is noted that a new channel estimation scheme with low pilot overhead will be provided in the second part of this letter. |
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| AbstractList | The reconfigurable intelligent surface (RIS) with low hardware cost and energy consumption has been recognized as a potential technique for future 6G communications to enhance coverage and capacity. To achieve this goal, accurate channel state information (CSI) in RIS assisted wireless communication system is essential for the joint beamforming at the base station (BS) and the RIS. However, channel estimation is challenging, since a large number of passive RIS elements cannot transmit, receive, or process signals. In the first part of this invited paper, we provide an overview of the fundamentals, solutions, and future opportunities of channel estimation in the RIS assisted wireless communication system. It is noted that a new channel estimation scheme with low pilot overhead will be provided in the second part of this letter. |
| Author | Dai, Linglong Wei, Xiuhong Shen, Decai |
| Author_xml | – sequence: 1 givenname: Xiuhong orcidid: 0000-0002-6117-3189 surname: Wei fullname: Wei, Xiuhong email: weixh19@mails.tsinghua.edu.cn organization: Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China – sequence: 2 givenname: Decai orcidid: 0000-0002-3813-5096 surname: Shen fullname: Shen, Decai email: sdc18@mails.tsinghua.edu.cn organization: Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China – sequence: 3 givenname: Linglong orcidid: 0000-0002-4250-7315 surname: Dai fullname: Dai, Linglong email: daill@tsinghua.edu.cn organization: Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China |
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| Cites_doi | 10.1109/GLOCOMW.2018.8644126 10.1109/TWC.2019.2936025 10.1109/JSAC.2020.3007057 10.1109/ACCESS.2019.2935192 10.1109/WCNC45663.2020.9120452 10.1109/LSP.2020.2998357 10.1109/LWC.2019.2961357 10.1109/TSP.2019.2931202 10.1109/OJCOMS.2020.2992791 10.1109/ICASSP.2019.8683663 10.1109/TVT.2020.3005402 |
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| SubjectTerms | Array signal processing Beamforming Channel estimation Communications systems Energy consumption Estimation Receiving antennas Reconfigurable intelligent surface (RIS) Signal processing Signal processing algorithms Uplink Wireless communication Wireless communication systems Wireless communications |
| Title | Channel Estimation for RIS Assisted Wireless Communications-Part I: Fundamentals, Solutions, and Future Opportunities |
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