University of Oulu

M. Miura, K. Suto, K. Sato and O. L. A. López, "Performance Analysis for IRS-Assisted SWIPT with Optimal Phase Shift under Spatially Correlated Fading Channels," 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), Florence, Italy, 2023, pp. 1-5, doi: 10.1109/VTC2023-Spring57618.2023.10199889.

Performance analysis for IRS-assisted SWIPT with optimal phase shift under spatially correlated fading channels

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Author: Miura, Masaaki1; Suto, Katsuya1; Sato, Koya2;
Organizations: 1Graduate School of Information and Engineering, The University of Electro-Communications
2Artificial Intelligence eXploration (AIX) Research Center, The University of Electro-Communications
3Centre for Wireless Communications, University of Oulu
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.5 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2023
Publish Date: 2023-08-14


In this paper, we analyze performance of an intelligent reflecting surface (IRS)-assisted simultaneous wireless information and power transfer (SWIPT) system with the optimal phase shift. Specifically, we consider a transmitter sends power and information signals with the assistance of an IRS and spatially correlated fading channels. In practice, the channel between the transmitter and the IRS and between IRS and the receiver are spatially correlated, which constitutes a challenge for accurate performance analysis. In the system, we derive an optimal phase shift, in which the main lobe of the reflected signal at the IRS is directed to the receiver. Then, we develop a closed-form expression to evaluate the average harvested energy and information outage probability. We validate that the proposed model via Monte Carlo simulation.

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Series: IEEE Vehicular Technology Conference
ISSN: 1090-3038
ISSN-L: 1090-3038
ISBN: 979-8-3503-1114-3
ISBN Print: 979-8-3503-1115-0
Article number: 10199889
Host publication: 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)
Conference: IEEE Vehicular Technology Conference
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work was supported by JSPS KAKENHI Grant Number JP22H03578 and JP22K14255, Academy of Finland (6G Flagship Program under Grant 346208), and the Finnish Foundation for Technology Promotion.
Academy of Finland Grant Number: 346208
Detailed Information: 346208 (Academy of Finland Funding decision)
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