Design of a Single-User RIS-Aided MISO System Based on Statistical Channel Knowledge

Sadaf Syed; Dominik Semmler; Donia Ben Amor; Michael Joham; Wolfgang Utschick

doi:10.1109/IEEECONF59524.2023.10476993

Design of a Single-User RIS-Aided MISO System Based on Statistical Channel Knowledge

Sadaf Syed, Dominik Semmler, Donia Ben Amor, Michael Joham, Wolfgang Utschick

Lehrstuhl für Methoden der Signalverarbeitung

Technische Universität München

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

Abstract

Reconfigurable intelligent surface (RIS) is considered a prospective technology for beyond fifth-generation (5G) networks to improve the spectral and energy efficiency at a low cost. Prior works on the RIS mainly rely on perfect channel state information (CSI), which imposes a huge computational complexity. This work considers a single-user RIS-assisted communication system, where the second-order statistical knowledge of the channels is exploited to reduce the training overhead. We present algorithms that do not require estimation of the CSI and reconfiguration of the RIS in every channel coherence interval, which constitutes one of the most critical practical issues in an RIS-aided system.

Originalsprache	Englisch
Titel	Conference Record of the 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023
Redakteure/-innen	Michael B. Matthews
Herausgeber (Verlag)	IEEE Computer Society
Seiten	460-464
Seitenumfang	5
ISBN (elektronisch)	9798350325744
DOIs	https://doi.org/10.1109/IEEECONF59524.2023.10476993
Publikationsstatus	Veröffentlicht - 2023
Veranstaltung	57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023 - Pacific Grove, USA/Vereinigte Staaten Dauer: 29 Okt. 2023 → 1 Nov. 2023

Publikationsreihe

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)	1058-6393

Konferenz

Konferenz	57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023
Land/Gebiet	USA/Vereinigte Staaten
Ort	Pacific Grove
Zeitraum	29/10/23 → 1/11/23

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10.1109/IEEECONF59524.2023.10476993

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Syed, S., Semmler, D., Amor, D. B., Joham, M., & Utschick, W. (2023). Design of a Single-User RIS-Aided MISO System Based on Statistical Channel Knowledge. in M. B. Matthews (Hrsg.), Conference Record of the 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023 (S. 460-464). (Conference Record - Asilomar Conference on Signals, Systems and Computers). IEEE Computer Society. https://doi.org/10.1109/IEEECONF59524.2023.10476993

Syed, Sadaf ; Semmler, Dominik ; Amor, Donia Ben et al. / Design of a Single-User RIS-Aided MISO System Based on Statistical Channel Knowledge. Conference Record of the 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023. Hrsg. / Michael B. Matthews. IEEE Computer Society, 2023. S. 460-464 (Conference Record - Asilomar Conference on Signals, Systems and Computers).

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title = "Design of a Single-User RIS-Aided MISO System Based on Statistical Channel Knowledge",

abstract = "Reconfigurable intelligent surface (RIS) is considered a prospective technology for beyond fifth-generation (5G) networks to improve the spectral and energy efficiency at a low cost. Prior works on the RIS mainly rely on perfect channel state information (CSI), which imposes a huge computational complexity. This work considers a single-user RIS-assisted communication system, where the second-order statistical knowledge of the channels is exploited to reduce the training overhead. We present algorithms that do not require estimation of the CSI and reconfiguration of the RIS in every channel coherence interval, which constitutes one of the most critical practical issues in an RIS-aided system.",

keywords = "CSI, Downlink, MISO, RIS, bilinear precoders, statistical knowledge",

author = "Sadaf Syed and Dominik Semmler and Amor, {Donia Ben} and Michael Joham and Wolfgang Utschick",

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doi = "10.1109/IEEECONF59524.2023.10476993",

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Syed, S, Semmler, D, Amor, DB, Joham, M & Utschick, W 2023, Design of a Single-User RIS-Aided MISO System Based on Statistical Channel Knowledge. in MB Matthews (Hrsg.), Conference Record of the 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023. Conference Record - Asilomar Conference on Signals, Systems and Computers, IEEE Computer Society, S. 460-464, 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023, Pacific Grove, USA/Vereinigte Staaten, 29/10/23. https://doi.org/10.1109/IEEECONF59524.2023.10476993

Design of a Single-User RIS-Aided MISO System Based on Statistical Channel Knowledge. / Syed, Sadaf; Semmler, Dominik; Amor, Donia Ben et al.
Conference Record of the 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023. Hrsg. / Michael B. Matthews. IEEE Computer Society, 2023. S. 460-464 (Conference Record - Asilomar Conference on Signals, Systems and Computers).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

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AB - Reconfigurable intelligent surface (RIS) is considered a prospective technology for beyond fifth-generation (5G) networks to improve the spectral and energy efficiency at a low cost. Prior works on the RIS mainly rely on perfect channel state information (CSI), which imposes a huge computational complexity. This work considers a single-user RIS-assisted communication system, where the second-order statistical knowledge of the channels is exploited to reduce the training overhead. We present algorithms that do not require estimation of the CSI and reconfiguration of the RIS in every channel coherence interval, which constitutes one of the most critical practical issues in an RIS-aided system.

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Syed S, Semmler D, Amor DB, Joham M, Utschick W. Design of a Single-User RIS-Aided MISO System Based on Statistical Channel Knowledge. in Matthews MB, Hrsg., Conference Record of the 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023. IEEE Computer Society. 2023. S. 460-464. (Conference Record - Asilomar Conference on Signals, Systems and Computers). doi: 10.1109/IEEECONF59524.2023.10476993

Design of a Single-User RIS-Aided MISO System Based on Statistical Channel Knowledge

Abstract

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