An Efficient Transmission Power Design for SWIPT Multi-antenna Network Integrated by an Intelligent Reflecting Surface
Vol. 133 No. 1B (2024), Original Article
Vol. 133 No. 1B (2024)

An Efficient Transmission Power Design for SWIPT Multi-antenna Network Integrated by an Intelligent Reflecting Surface

Original Article
https://doi.org/10.26459/hueunijns.v133i1B.7144
Published 2024-06-27
Pham Viet Tuan*
Faculty of Physics, University of Education, Hue University, 34 Le Loi, Hue City, Vietnam
Hoang Dinh Long
Faculty of Physics, University of Education, Hue University, 34 Le Loi, Hue City, Vietnam
Nguyen Tu Bac
Faculty of Physics, University of Education, Hue University, 34 Le Loi, Hue City, Vietnam
Hoang Trong Duc
Faculty of Physics, University of Education, Hue University, 34 Le Loi, Hue City, Vietnam
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Keywords

Simultaneous wireless information and power transfer (SWIPT)
intelligent reflecting surface (IRS)
time-switching (TS) structure
alternating optimization (AO)
transmission power minimization

How to Cite

1.
Tuan PV, Hoang DL, Nguyen TH, Hoang TD. An Efficient Transmission Power Design for SWIPT Multi-antenna Network Integrated by an Intelligent Reflecting Surface. hueuni-jns [Internet]. 2024Jun.27 [cited 2024Nov.14];133(1B):49-61. Available from: http://222.255.146.83/index.php/hujos-ns/article/view/7144
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Abstract

In this work, intelligent reflecting surface (IRS) is integrated to improve the transmission power in the simultaneous wireless information and power transfer (SWIPT) system with hybrid time-switching (TS) users. The considered scenario includes one base station (BS), one IRS, and multiple TS users, where the BS transmits the information and energy signals to the receivers with IRS assistance. The sum transmission power minimization problem is formulated under the quality-of-service constraints of data rate and energy harvesting amount at the TS users and the equal time-switching periods. The successive convex approximation and alternating optimization methods are exploited to construct efficient algorithms for finding the suboptimal precoding beamforming vectors at the BS and the phase shifts at the IRS elements. Finally, the numerical results show convergence and significant improvement in performance as compared to conventional baseline schemes.

https://doi.org/10.26459/hueunijns.v133i1B.7144
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