Magnitude and uniformity improvement of the received optical power for an indoor VLC system jointly assisted by angle-diversity transceivers and STAR-IRS

Ting Yang , Ping Wang , Huimeng He , Yingfei Xiong , Yanzhe Sun , Qi Liu

Optoelectronics Letters ›› 2025, Vol. 21 ›› Issue (11) : 671 -676.

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Optoelectronics Letters ›› 2025, Vol. 21 ›› Issue (11) : 671 -676. DOI: 10.1007/s11801-025-4202-x
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Magnitude and uniformity improvement of the received optical power for an indoor VLC system jointly assisted by angle-diversity transceivers and STAR-IRS

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Abstract

To improve the quality of the illumination distribution, one novel indoor visible light communication (VLC) system, which is jointly assisted by the angle-diversity transceivers and simultaneous transmission and reflection-intelligent reflecting surface (STAR-IRS), has been proposed in this work. A Harris Hawks optimizer algorithm (HHOA)-based two-stage alternating iteration algorithm (TSAIA) is presented to jointly optimize the magnitude and uniformity of the received optical power. Besides, to demonstrate the superiority of the proposed strategy, several benchmark schemes are simulated and compared. Results showed that compared to other optimization strategies, the TSAIA scheme is more capable of balancing the average value and variance of the received optical power, when the maximal ratio combining (MRC) strategy is adopted at the receiver. Moreover, as the number of the STAR-IRS elements increases, the optical power variance of the system optimized by TSAIA scheme would become smaller while the average optical power would get larger. This study will benefit the design of received optical power distribution for indoor VLC systems.

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Ting Yang, Ping Wang, Huimeng He, Yingfei Xiong, Yanzhe Sun, Qi Liu. Magnitude and uniformity improvement of the received optical power for an indoor VLC system jointly assisted by angle-diversity transceivers and STAR-IRS. Optoelectronics Letters, 2025, 21(11): 671-676 DOI:10.1007/s11801-025-4202-x

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References

[1]

An N, Yang F, Cheng L. et al.. IRS-assisted aggregated VLC-RF system: resource allocation for energy efficiency maximization. IEEE transactions on wireless communications, 2024, 23(10): 13515-13529. J]

[2]

Arfaoui M, Ghrayeb A, Assi C. et al.. CoMP-assisted NOMA and cooperative NOMA in indoor VLC cellular systems. IEEE transactions on communications, 2022, 70(9): 6020-6034. J]

[3]

Zou C, Yang F, Sun S. et al.. Autoencoder for optical intelligent reflecting surface-assisted VLC system: from model and data-driven perspectives. IEEE internet of things journal, 2023, 10(24): 22487-22500. J]

[4]

Perera P, Warnasooriya V, Kudathan Thirige D. et al.. Sum rate maximization in STAR-RIS assisted full-duplex communication systems. Proceedings of 2022 IEEE International Conference on Communications, May 16–20, 2022, Seoul, South Korea, 2022New YorkIEEE3281-3286[C]

[5]

Salehiyan A, Emadi M. Performance analysis of uplink optical wireless communications in the presence of a simultaneously transmitting and reflecting reconfigurable intelligent surface. IET optoelectronics, 2023, 17(4): 129-138. J]

[6]

Maraqa O, Aboagye S, Ngatched T. Optical STAR-RIS-aided VLC systems: RSMA versus NOMA. IEEE open journal of the communications society, 2024, 5: 430-441. J]

[7]

Chen C, Zhong W D, Yang H. et al.. Reduction of SINR fluctuation in indoor multi-cell VLC systems using optimized angle diversity receiver. Journal of lightwave technology, 2018, 36(17): 3603-3610. J]

[8]

Tahira Z, Asif H, Khan A. et al.. Optimization of non-orthogonal multiple access based visible light communication systems. IEEE communications letters, 2019, 23(8): 1365-1368. J]

[9]

Heidari A, Mirjalili S, Faris H. et al.. Harris hawks optimization: algorithm and applications. Future generation computer systems, 2019, 97: 849-872. J]

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