[1] Gupta S, Roy D, Bose S et al. Illuminating the future: a comprehensive review of visible light communication applications[J]. Optics & Laser Technology, 177, 111182(2024).

[2] Dwivedy P, Dixit V, Kumar A. A survey on visible light communication for 6G: architecture, application and challenges[C]. 9, 1-6(2023).

[3] Vijayakumari K, Anusudha K. A comprehensive study on the advances and challenges in visible light communication technologies[C], 1-6(2024).

[4] Georlette V, Moeyaert V, Bette S et al. Visible light communication challenges in the frame of smart cities[C], 1-4(2020).

[5] Shi J Y, Niu W Q, Ha Y et al. AI-enabled intelligent visible light communications: challenges, progress, and future[J]. Photonics, 9, 529(2022).

[6] Wang X Q, Yang C, Chen M Y et al. A prospect of novel devices for visible light communication in future 6G networks applications[C], 1-6(2024).

[7] He C W, Ali W. Advances in visible light communication[J]. Photonics, 10, 1277(2023).

[8] Matheus L E M, Vieira A B, Vieira L F M et al. Visible light communication: concepts, applications and challenges[J]. IEEE Communications Surveys & Tutorials, 21, 3204-3237(2019).

[9] Dimitrov S, Haas H. Information rate of OFDM-based optical wireless communication systems with nonlinear distortion[J]. Journal of Lightwave Technology, 31, 918-929(2013).

[10] Swaminathan S, Raajan N R. An ADO-OFDM with integrated precoding, companding and optimized power allocation methods for high-speed data transmission in visible light communication[J]. Transactions on Emerging Telecommunications Technologies, 35, e4944(2024).

[11] Jia K J, Yang B R, Hao L. An optimal SNR symbol decomposition with serial transmission scheme for O-OFDM-based VLC system[J]. IEEE Communications Letters, 26, 2969-2973(2022).

[12] Zenhom Y A, Hamad E K I, Alghassab M et al. Optical-OFDM VLC system: peak-to-average power ratio enhancement and performance evaluation[J]. Sensors, 24, 2965(2024).

[13] Deng X, Mardanikorani S, Wu Y et al. Mitigating LED nonlinearity to enhance visible light communications[J]. IEEE Transactions on Communications, 66, 5593-5607(2018).

[14] Nsaif M A. Analyze the impact of nonlinear distortions on OFDM-based visible light communication systems[J]. Al-Qadisiyah Journal for Engineering Sciences, 17, 198-210(2024).

[15] Jia K J, Yang B R, Cao M H et al. An adaptive symbol decomposition with serial transmission for O-OFDM-based VLC system[J]. IEEE Communications Letters, 25, 916-920(2021).

[16] Miao P, Chen G J, Wang X B et al. Adaptive nonlinear equalization combining sparse Bayesian learning and Kalman filtering for visible light communications[J]. Journal of Lightwave Technology, 38, 6732-6745(2020).

[17] Jin J L, Wang J P, Lu H M et al. Separate least mean square based equalizer with joint optimization for multi-CAP visible light communication[J]. China Communications, 19, 264-273(2022).

[18] Wang Y G, Tao L, Huang X X et al. 8-Gb/s RGBY LED-based WDM VLC system employing high-order cap modulation and hybrid post equalizer[J]. IEEE Photonics Journal, 7, 7904507(2015).

[19] Nguyen T, Mhatli S, Giacoumidis E et al. Fiber nonlinearity equalizer based on support vector classification for coherent optical OFDM[J]. IEEE Photonics Journal, 8, 7802009(2016).

[20] Chen C, Deng X, Yang Y B et al. LED nonlinearity estimation and compensation in VLC systems using probabilistic Bayesian learning[J]. Applied Sciences, 9, 2711(2019).

[21] Lu X Y, Qiao L, Zhou Y J et al. An I-Q-time 3-dimensional post-equalization algorithm based on DBSCAN of machine learning in CAP VLC system[J]. Optics Communications, 430, 299-303(2019).

[22] Mende H, Frye M, Vogel P A et al. On the importance of domain expertise in feature engineering for predictive product quality in production[J]. Procedia CIRP, 118, 1096-1101(2023).

[23] Freire P J, Prilepsky J E, Osadchuk Y et al. Neural networks based post-equalization in coherent optical systems: regression versus classification[EB/OL]. https:∥arxiv.org/abs/2109.13843v2

[24] Gao Y L, Wu Z Y, Wang J. Convolution neural network-based time-domain equalizer for DFT-Spread OFDM VLC system[J]. Optics Communications, 435, 35-40(2019).

[25] Lu X Y, Lu C, Yu W X et al. Memory-controlled deep LSTM neural network post-equalizer used in high-speed PAM VLC system[J]. Optics Express, 27, 7822-7833(2019).

[26] LeCun Y, Bengio Y, Hinton G. Deep learning[J]. Nature, 521, 436-444(2015).

[27] Li G Q, Hu F C, Zhao Y H et al. Enhanced performance of a phosphorescent white LED CAP 64QAM VLC system utilizing deep neural network (DNN) post equalization[C], 173-176(2019).

[28] Jia K J, Wang J N, Lin Y et al. Design of KNN cascade equalizer improved by rough set theory and LED nonlinearity suppression study[J]. Journal of Beijing University of Posts and Telecommunications, 46, 15-21(2023).

[29] Zhou T, Lu H L, Ren H L et al. Survey on attribute reduction algorithm of rough set[J]. Acta Electronica Sinica, 49, 1439-1449(2021).

[30] Hu Q H, Zhao H, Yu D R. Efficient symbolic and numerical attribute reduction with neighborhood rough sets[J]. Pattern Recognition and Artificial Intelligence, 21, 732-738(2008).

[31] Qian H, Yao S J, Cai S Z et al. Adaptive postdistortion for nonlinear LEDs in visible light communications[J]. IEEE Photonics Journal, 6, 7901508(2014).

[32] Krizhevsky A, Sutskever I, Hinton G E. ImageNet classification with deep convolutional neural networks[J]. Communications of the ACM, 60, 84-90(2017).

[33] Brauwers G, Frasincar F. A general survey on attention mechanisms in deep learning[J]. IEEE Transactions on Knowledge and Data Engineering, 35, 3279-3298(2023).

[34] Vaswani A, Shazeer N, Parmar N et al. Attention is all you need[C], 6000-6010(2017).

[35] Miao P, Chen G J, Cumanan K et al. Deep hybrid neural network-based channel equalization in visible light communication[J]. IEEE Communications Letters, 26, 1593-1597(2022).

[36] Hu Q H, Yu D R, Xie Z X. Numerical attribute reduction based on neighborhood granulation and rough approximation[J]. Journal of Software, 19, 640-649(2008).

[37] Zhang Q H, Xiao J Y, Ai Z H et al. Near neighborhood classifier with adaptive radius selection[J]. Pattern Recognition and Artificial Intelligence, 35, 989-998(2022).

[38] An S, Guo X Y, Wang C Z et al. A soft neighborhood rough set model and its applications[J]. Information Sciences, 624, 185-199(2023).

[39] Guo J N, Wang C, Zhang J. Optimal constellation design for visible light communication with multi-color LED[J]. Acta Optica Sinica, 45, 0306005(2025).

[40] Jia K J, He Y M, Zhang F F et al. An antenna selection algorithm for visible light communication MIMO-OFDM systems based on submodular function[J]. Telecommunication Engineering, 65, 445-453(2025).

[41] Chen Y, Wu Z Q, Liu H L et al. Neural-network-based channel estimation method for visible light communication systems[J]. Acta Optica Sinica, 43, 0706004(2023).