Enhancement of Optical Wireless Discrete Multitone Channel Capacity Based on Li-Fi Using Sparse Coded Mask Modeling
A sparse coded mask modeling technique is proposed to increase the transmission capacity of an optical wireless link based on Li-Fi. The learning model for the discrete multitone (DMT) signal waveform is implemented using the proposed technique, which is designed based on a masked auto-encoder. The...
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MDPI AG
2025-04-01
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| Series: | Photonics |
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| Online Access: | https://www.mdpi.com/2304-6732/12/4/395 |
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| author | Yong-Yuk Won Heetae Han Dongmin Choi Sang Min Yoon |
| author_facet | Yong-Yuk Won Heetae Han Dongmin Choi Sang Min Yoon |
| author_sort | Yong-Yuk Won |
| collection | DOAJ |
| description | A sparse coded mask modeling technique is proposed to increase the transmission capacity of an optical wireless link based on Li-Fi. The learning model for the discrete multitone (DMT) signal waveform is implemented using the proposed technique, which is designed based on a masked auto-encoder. The entire length of the DMT signal waveform, encoded using quadrature phase shift keying (QPSK) or 16-quadrature amplitude modulation (16-QAM) symbols, is divided into equal intervals to generate DMT patches, which are subsequently compressed based on the specified masking ratio. After 1-m optical wireless transmission, the DMT signal waveform is reconstructed from the received DMT patch through a decoding process and then QPSK or 16-QAM symbols are recovered. Using the proposed technique, we demonstrate that we can increase the transmission capacity by up to 1.85 times for a 10 MHz physical bandwidth. Additionally, we verify that the proposed technique is feasible in Li-Fi networks with illumination environments above 240 lux. |
| format | Article |
| id | doaj-art-1751d4edc681498ebd1fbbd3df3f2a9b |
| institution | DOAJ |
| issn | 2304-6732 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Photonics |
| spelling | doaj-art-1751d4edc681498ebd1fbbd3df3f2a9b2025-08-20T03:13:55ZengMDPI AGPhotonics2304-67322025-04-0112439510.3390/photonics12040395Enhancement of Optical Wireless Discrete Multitone Channel Capacity Based on Li-Fi Using Sparse Coded Mask ModelingYong-Yuk Won0Heetae Han1Dongmin Choi2Sang Min Yoon3Department of Electronic Engineering, Myongji University, 116 Myongji-ro, Cheoin-gu, Yongin 17058, Republic of KoreaSchool of Computer Science, Kookmin University, 77, Jeongneung-ro, Sungbuk-gu, Seoul 02707, Republic of KoreaDepartment of Electronic Engineering, Myongji University, 116 Myongji-ro, Cheoin-gu, Yongin 17058, Republic of KoreaSchool of Computer Science, Kookmin University, 77, Jeongneung-ro, Sungbuk-gu, Seoul 02707, Republic of KoreaA sparse coded mask modeling technique is proposed to increase the transmission capacity of an optical wireless link based on Li-Fi. The learning model for the discrete multitone (DMT) signal waveform is implemented using the proposed technique, which is designed based on a masked auto-encoder. The entire length of the DMT signal waveform, encoded using quadrature phase shift keying (QPSK) or 16-quadrature amplitude modulation (16-QAM) symbols, is divided into equal intervals to generate DMT patches, which are subsequently compressed based on the specified masking ratio. After 1-m optical wireless transmission, the DMT signal waveform is reconstructed from the received DMT patch through a decoding process and then QPSK or 16-QAM symbols are recovered. Using the proposed technique, we demonstrate that we can increase the transmission capacity by up to 1.85 times for a 10 MHz physical bandwidth. Additionally, we verify that the proposed technique is feasible in Li-Fi networks with illumination environments above 240 lux.https://www.mdpi.com/2304-6732/12/4/395discrete multi–tone modulationlight–fidelitymasked autoencodersparse coded mask modeling |
| spellingShingle | Yong-Yuk Won Heetae Han Dongmin Choi Sang Min Yoon Enhancement of Optical Wireless Discrete Multitone Channel Capacity Based on Li-Fi Using Sparse Coded Mask Modeling Photonics discrete multi–tone modulation light–fidelity masked autoencoder sparse coded mask modeling |
| title | Enhancement of Optical Wireless Discrete Multitone Channel Capacity Based on Li-Fi Using Sparse Coded Mask Modeling |
| title_full | Enhancement of Optical Wireless Discrete Multitone Channel Capacity Based on Li-Fi Using Sparse Coded Mask Modeling |
| title_fullStr | Enhancement of Optical Wireless Discrete Multitone Channel Capacity Based on Li-Fi Using Sparse Coded Mask Modeling |
| title_full_unstemmed | Enhancement of Optical Wireless Discrete Multitone Channel Capacity Based on Li-Fi Using Sparse Coded Mask Modeling |
| title_short | Enhancement of Optical Wireless Discrete Multitone Channel Capacity Based on Li-Fi Using Sparse Coded Mask Modeling |
| title_sort | enhancement of optical wireless discrete multitone channel capacity based on li fi using sparse coded mask modeling |
| topic | discrete multi–tone modulation light–fidelity masked autoencoder sparse coded mask modeling |
| url | https://www.mdpi.com/2304-6732/12/4/395 |
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