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Novel multiple RIS-assisted communications for 6G networks

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Wang, Yongwei, Zhang, Wensheng, Chen, Yunfei, Wang, Cheng-Xiang and Sun, Jian (2022) Novel multiple RIS-assisted communications for 6G networks. IEEE Communications Letters, 26 (6). pp. 1413-1417. doi:10.1109/LCOMM.2022.3163587 ISSN 1089-7798.

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Official URL: https://doi.org/10.1109/LCOMM.2022.3163587

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Abstract

As an emerging technique, reconfigurable intelligent surface (RIS) has recently received extensive attention and can be considered as a key enabling technology for future sixth generation (6G) wireless communication networks. In this letter, we propose a novel multiple RIS-assisted single-input-single-output (SISO) wireless communication system working in a domino pattern when obscuration is severe. The upper bound of the ergodic capacity and the outage probability for the proposed system are analyzed and the corresponding closed-form expressions are provided under Nakagami-m fading channels. The general multiple RIS-assisted systems including two RISs and K RISs are analyzed. Numerical results indicate that the number of RISs, the number of RIS elements, and the communication environment can significantly affect the upper bound of the ergodic capacity and the outage probability performance of the proposed system. The feasibility of the proposed system and the accuracy of the upper bound of the ergodic capacity and the outage probability are also verified by the numerical results.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Library of Congress Subject Headings (LCSH): Ergodic theory, Wireless communication systems -- Technological innovations, Mobile communication systems -- Technological innovations, Mobile communication systems -- Forecasting
Journal or Publication Title: IEEE Communications Letters
Publisher: IEEE
ISSN: 1089-7798
Official Date: June 2022
Dates:
DateEvent
June 2022Published
30 March 2022Available
27 March 2022Accepted
Volume: 26
Number: 6
Page Range: pp. 1413-1417
DOI: 10.1109/LCOMM.2022.3163587
Status: Peer Reviewed
Publication Status: Published
Reuse Statement (publisher, data, author rights): © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Access rights to Published version: Restricted or Subscription Access
Copyright Holders: IEEE
Date of first compliant deposit: 28 March 2022
Date of first compliant Open Access: 13 April 2022
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
62071276[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
61960206006[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
2018YFB1801101National Key R&D Program of ChinaUNSPECIFIED
ZR2020MF002Natural Science Foundation of Shandong Provincehttp://dx.doi.org/10.13039/501100007129

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