Symbol Level Precoding in the RF Domain for Low Hardware Complexity RIS-Assisted MU-MISO Systems

Tsinos CG, Tsiftsis TA, Schober R (2023)

Publication Type: Conference contribution

Publication year: 2023

Journal

2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Publisher: Institute of Electrical and Electronics Engineers Inc.

Book Volume: 2023-June

Conference Proceedings Title: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Event location: Rhodes Island, GRC

ISBN: 9781728163277

DOI: 10.1109/ICASSP49357.2023.10094879

Abstract

In this paper, a radio-frequency (RF) domain symbol level precoding technique is developed for reconfigurable intelligent surface (RIS)-assisted downlink multiuser multiple-input single-output (MU-MISO) systems. We study a system with a base station (BS) employing an analog architecture formed by a phase shifting network which serves a number of single antenna users with the help of a RIS. Such an architecture facilitates significant reductions in power consumption and hardware complexity. The objective of this paper is to jointly derive the optimal RF precoder, RIS reflection matrix and receive processing coefficients, subject to constraints on the BS analog architecture, the total transmit power, and the structure of the RIS reflection matrix. To that end, a difficult nonconvex optimization problem is formulated and solved. An efficient algorithmic solution is developed for the considered problem. Numerical results show that the derived solution offers significant energy efficiency gains when compared to non-RIS-assisted approaches.

Authors with CRIS profile

Robert Schober Lehrstuhl für Digitale Übertragung

Involved external institutions

National and Kapodistrian University of Athens GR Greece (GR) University of Thessaly / Πανεπιστήμιο Θεσσαλίας GR Greece (GR)

How to cite

APA:

Tsinos, C.G., Tsiftsis, T.A., & Schober, R. (2023). Symbol Level Precoding in the RF Domain for Low Hardware Complexity RIS-Assisted MU-MISO Systems. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Rhodes Island, GRC: Institute of Electrical and Electronics Engineers Inc..

MLA:

Tsinos, Christos G., Theodoros A. Tsiftsis, and Robert Schober. "Symbol Level Precoding in the RF Domain for Low Hardware Complexity RIS-Assisted MU-MISO Systems." Proceedings of the 48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023, Rhodes Island, GRC Institute of Electrical and Electronics Engineers Inc., 2023.

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