Abstract

Visible light communication (VLC) has emerged as a promising technology for future sixth-generation (6 G) communications. Estimating and predicting the impairments, such as turbulence and free space signal scattering, can help to construct flexible and adaptive VLC networks. However, the monitoring of impairments of VLC is still in its infancy. In this Letter, we experimentally demonstrate a deep-neural-network-based signal-to-noise ratio (SNR) estimation scheme for VLC networks. A vision transformer (ViT) is first utilized and compared with the conventional scheme based on a convolutional neural network (CNN). Experimental results show that the ViT-based scheme exhibits robust performance in SNR estimation for VLC networks compared to the CNN-based scheme. Specifically, the ViT-based scheme can achieve accuracies of 76%, 63.33%, 45.33%, and 37.67% for 2-quadrature amplitude modulation (2QAM), 4QAM, 8QAM, and 16QAM, respectively, against 65%, 57.67%, 41.67%, and 34.33% for the CNN-based scheme. Additionally, data augmentation has been employed for achieving enhanced SNR estimation accuracies of 95%, 79.67%, 58.33%, and 50.33% for 2QAM, 4QAM, 8QAM, and 16QAM, respectively. The effect of the SNR step size of a contour stellar image dataset on the SNR estimation accuracy is also studied.

© 2023 Optica Publishing Group

AL-aided AMC in a multi-user white-light OFDMA VLC system over a light-diffusing fiber loop

Zixian Wei, Codey Nacke, Mostafa Khalil, Hao Sun, Kyle Stitt, James Lougheed, Lawrence R. Chen, and David V. Plant
Opt. Lett. 48(14) 3661-3664 (2023)

Mobile recognition and positioning for multiple visible light communication cells using a convolutional neural network

Xiaoxiao Du, Yanyu Zhang, Chao Wang, Penghui Fan, and Yijun Zhu
Opt. Lett. 48(24) 6468-6471 (2023)

Transmitter dispersion eye closure quaternary assessment based on linear CNN with 1 × 1 convolutional kernel

Zejun Chen, Junjiang Xiang, Hailin Yang, Gai Zhou, Meng Xiang, Songnian Fu, and Yuwen Qin
Opt. Lett. 48(23) 6196-6199 (2023)

8.8 Gbps PAM-4 visible light communication link using an external modulator and a neural network equalizer

Jianyang Shi, Yuan Wei, Zhiteng Luo, Ziwei Li, Chao Shen, Junwen Zhang, and Nan Chi
Opt. Lett. 48(20) 5193-5196 (2023)

Generalized optical signal-to-noise ratio monitoring using a convolutional neural network for digital coherent receivers

Hyung Joon Cho
Opt. Lett. 48(7) 1798-1801 (2023)