Optimization of surface configuration in IRS-aided MIMO-VLC: a BER minimization approach

Xin Zhong; Chen Chen; Wanli Wen; Min Liu; H. Y. Fu; Harald Haas

doi:10.1109/jphot.2024.3395894

Optimization of surface configuration in IRS-aided MIMO-VLC: a BER minimization approach

Xin Zhong, Chen Chen, Wanli Wen, Min Liu, H. Y. Fu, Harald Haas

Electronic And Electrical Engineering

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Abstract

Due to its ability to reconfigure the optical channel, intelligent reflecting surface (IRS) has revealed its great potential for enhancing the performance of visible light communication (VLC) systems. In this paper, we apply a mirror array-based IRS in typical multiple-input multiple-output based VLC (MIMO-VLC) systems and optimize the IRS configuration to minimize the system bit error rate (BER). By utilizing the tight analytical BER upper bound, a BER minimization problem is formulated subject to the IRS configuration constraints. To solve this problem, an optimization algorithm is proposed which decomposes the original problem into three sub-problems, and the complexity of the algorithm is analyzed. The superiority of the obtained optimal IRS configuration scheme over the baseline scheme in terms of BER performance has been successfully verified through simulations in an indoor IRS-aided 4×4 MIMO-VLC system applying different MIMO techniques.

Original language	English
Article number	7301712
Number of pages	12
Journal	IEEE Photonics Journal
Volume	16
Issue number	3
Early online date	1 May 2024
DOIs	https://doi.org/10.1109/jphot.2024.3395894
Publication status	Published - Jun 2024

Keywords

Intelligent reflecting surface
multiple-input multiple-output
visible light communication

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10.1109/jphot.2024.3395894Licence: CC BY 4.0

Zhong-etal-IEEE-PJ-2024-Optimization-of-surface-configuration-in-IRS-aided-MIMO-VLCFinal published version, 4.9 MBLicence: CC BY 4.0

Cite this

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title = "Optimization of surface configuration in IRS-aided MIMO-VLC: a BER minimization approach",

abstract = "Due to its ability to reconfigure the optical channel, intelligent reflecting surface (IRS) has revealed its great potential for enhancing the performance of visible light communication (VLC) systems. In this paper, we apply a mirror array-based IRS in typical multiple-input multiple-output based VLC (MIMO-VLC) systems and optimize the IRS configuration to minimize the system bit error rate (BER). By utilizing the tight analytical BER upper bound, a BER minimization problem is formulated subject to the IRS configuration constraints. To solve this problem, an optimization algorithm is proposed which decomposes the original problem into three sub-problems, and the complexity of the algorithm is analyzed. The superiority of the obtained optimal IRS configuration scheme over the baseline scheme in terms of BER performance has been successfully verified through simulations in an indoor IRS-aided 4×4 MIMO-VLC system applying different MIMO techniques.",

keywords = "Intelligent reflecting surface, multiple-input multiple-output, visible light communication",

author = "Xin Zhong and Chen Chen and Wanli Wen and Min Liu and Fu, {H. Y.} and Harald Haas",

year = "2024",

month = jun,

doi = "10.1109/jphot.2024.3395894",

language = "English",

volume = "16",

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T1 - Optimization of surface configuration in IRS-aided MIMO-VLC

T2 - a BER minimization approach

AU - Zhong, Xin

AU - Chen, Chen

AU - Wen, Wanli

AU - Liu, Min

AU - Fu, H. Y.

AU - Haas, Harald

PY - 2024/6

Y1 - 2024/6

N2 - Due to its ability to reconfigure the optical channel, intelligent reflecting surface (IRS) has revealed its great potential for enhancing the performance of visible light communication (VLC) systems. In this paper, we apply a mirror array-based IRS in typical multiple-input multiple-output based VLC (MIMO-VLC) systems and optimize the IRS configuration to minimize the system bit error rate (BER). By utilizing the tight analytical BER upper bound, a BER minimization problem is formulated subject to the IRS configuration constraints. To solve this problem, an optimization algorithm is proposed which decomposes the original problem into three sub-problems, and the complexity of the algorithm is analyzed. The superiority of the obtained optimal IRS configuration scheme over the baseline scheme in terms of BER performance has been successfully verified through simulations in an indoor IRS-aided 4×4 MIMO-VLC system applying different MIMO techniques.

AB - Due to its ability to reconfigure the optical channel, intelligent reflecting surface (IRS) has revealed its great potential for enhancing the performance of visible light communication (VLC) systems. In this paper, we apply a mirror array-based IRS in typical multiple-input multiple-output based VLC (MIMO-VLC) systems and optimize the IRS configuration to minimize the system bit error rate (BER). By utilizing the tight analytical BER upper bound, a BER minimization problem is formulated subject to the IRS configuration constraints. To solve this problem, an optimization algorithm is proposed which decomposes the original problem into three sub-problems, and the complexity of the algorithm is analyzed. The superiority of the obtained optimal IRS configuration scheme over the baseline scheme in terms of BER performance has been successfully verified through simulations in an indoor IRS-aided 4×4 MIMO-VLC system applying different MIMO techniques.

KW - Intelligent reflecting surface

KW - multiple-input multiple-output

KW - visible light communication

U2 - 10.1109/jphot.2024.3395894

DO - 10.1109/jphot.2024.3395894

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JF - IEEE Photonics Journal

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Optimization of surface configuration in IRS-aided MIMO-VLC: a BER minimization approach

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