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

Chair of Signal Processing

Technical University of Munich

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

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.

Original language	English
Title of host publication	Conference Record of the 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023
Editors	Michael B. Matthews
Publisher	IEEE Computer Society
Pages	460-464
Number of pages	5
ISBN (Electronic)	9798350325744
DOIs	https://doi.org/10.1109/IEEECONF59524.2023.10476993
State	Published - 2023
Event	57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023 - Virtual, Online, United States Duration: 29 Oct 2023 → 1 Nov 2023

Publication series

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Electronic)	2576-2303

Conference

Conference	57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023
Country/Territory	United States
City	Virtual, Online
Period	29/10/23 → 1/11/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

CSI
Downlink
MISO
RIS
bilinear precoders
statistical knowledge

Access to Document

10.1109/IEEECONF59524.2023.10476993

Cite this

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 (Ed.), Conference Record of the 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023 (pp. 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. editor / Michael B. Matthews. IEEE Computer Society, 2023. pp. 460-464 (Conference Record - Asilomar Conference on Signals, Systems and Computers).

@inproceedings{f53b8f93ef9542ea922ef9a2afca1fdc,

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",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023 ; Conference date: 29-10-2023 Through 01-11-2023",

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doi = "10.1109/IEEECONF59524.2023.10476993",

language = "English",

series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",

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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 (ed.), 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, pp. 460-464, 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023, Virtual, Online, United States, 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. ed. / Michael B. Matthews. IEEE Computer Society, 2023. p. 460-464 (Conference Record - Asilomar Conference on Signals, Systems and Computers).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Design of a Single-User RIS-Aided MISO System Based on Statistical Channel Knowledge

AU - Syed, Sadaf

AU - Semmler, Dominik

AU - Amor, Donia Ben

AU - Joham, Michael

AU - Utschick, Wolfgang

PY - 2023

Y1 - 2023

N2 - 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.

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.

KW - CSI

KW - Downlink

KW - MISO

KW - RIS

KW - bilinear precoders

KW - statistical knowledge

UR - https://www.scopus.com/pages/publications/85190365218

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DO - 10.1109/IEEECONF59524.2023.10476993

M3 - Conference contribution

AN - SCOPUS:85190365218

T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers

SP - 460

EP - 464

BT - Conference Record of the 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023

A2 - Matthews, Michael B.

PB - IEEE Computer Society

T2 - 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023

Y2 - 29 October 2023 through 1 November 2023

ER -

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, editor, Conference Record of the 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023. IEEE Computer Society. 2023. p. 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

Publication series

Conference

UN SDGs

Keywords

Access to Document

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