Optical IRS-aided NOMA-VLC for Simultaneous Lightwave Information and Power Transfer

In this paper, we investigate the optimization of power allocation and optical intelligent reflecting surface (OIRS) configuration for simultaneous lightwave information and power transfer (SLIPT) in non-orthogonal multiple access (NOMA)based visible light communication (VLC) systems, while both the line-of-sight and OIRS-reflected channels are considered. The problem is formulated to minimize the total power consumption of the whole system, which is solved by the minorizationmaximization method and relaxed iterative algorithm under various key constraints. Moreover, simulation results not only show that the proposed algorithm effectively reduces the system energy consumption while satisfying the constraints, but also demonstrate the enhancement of the system by OIRS, which is especially significant at low signal-to-noise ratio conditions.

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Publication Details

Published
2025-06-08
DOI
https://doi.org/10.1109/icc52391.2025.11161607
Citations
2
Primary Topic
Optical Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
1.46
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article

Optical IRS-aided NOMA-VLC for Simultaneous Lightwave Information and Power Transfer

Fang Yang, Zhu Han, Qi Zhang, Jian Song et al.
2 citations
Optical Wireless Communication Technologies
1.46
article

Optical IRS-aided NOMA-VLC for Simultaneous Lightwave Information and Power Transfer

Fang Yang, Zhu Han, Qi Zhang, Jian Song, Zehao Liu
article en
2 citations

Abstract

In this paper, we investigate the optimization of power allocation and optical intelligent reflecting surface (OIRS) configuration for simultaneous lightwave information and power transfer (SLIPT) in non-orthogonal multiple access (NOMA)based visible light communication (VLC) systems, while both the line-of-sight and OIRS-reflected channels are considered. The problem is formulated to minimize the total power consumption of the whole system, which is solved by the minorizationmaximization method and relaxed iterative algorithm under various key constraints. Moreover, simulation results not only show that the proposed algorithm effectively reduces the system energy consumption while satisfying the constraints, but also demonstrate the enhancement of the system by OIRS, which is especially significant at low signal-to-noise ratio conditions.

University of Houston (US), Tsinghua University (CN)
Openalex Percentile: Top 15%
Optical Wireless Communication Technologies
1.46
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