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

Miura, Masaaki; Suto, Katsuya; Sato, Koya; Alcaraz López, Onel Luis (2023-08-14)

 
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https://doi.org/10.1109/VTC2023-Spring57618.2023.10199889

Miura, Masaaki
Suto, Katsuya
Sato, Koya
Alcaraz López, Onel Luis
Institute of Electrical and Electronics Engineers
14.08.2023

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.

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Abstract

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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