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) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe20230915127316 |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2023
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Publish Date: | 2023-08-14 |
Description: |
AbstractIn 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. see all
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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 |
Subjects: | |
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) |
Copyright information: |
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