Optical semantic communication through multimode fiber: from symbol transmission to sentiment analysis
Abstract We propose and validate a novel optical semantic transmission scheme using multimode fiber (MMF). By leveraging the frequency sensitivity of intermodal dispersion in MMFs, we achieve high-dimensional semantic encoding and decoding in the frequency domain. Our system maps symbols to 128 dist...
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Nature Publishing Group
2025-01-01
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Series: | Light: Science & Applications |
Online Access: | https://doi.org/10.1038/s41377-024-01726-5 |
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author | Zheng Gao Ting Jiang Mingming Zhang Hao Wu Ming Tang |
author_facet | Zheng Gao Ting Jiang Mingming Zhang Hao Wu Ming Tang |
author_sort | Zheng Gao |
collection | DOAJ |
description | Abstract We propose and validate a novel optical semantic transmission scheme using multimode fiber (MMF). By leveraging the frequency sensitivity of intermodal dispersion in MMFs, we achieve high-dimensional semantic encoding and decoding in the frequency domain. Our system maps symbols to 128 distinct frequencies spaced at 600 kHz intervals, demonstrating a seven-fold increase in capacity compared to conventional communication encoding. We further enhance spectral efficiency by implementing 4-level pulse amplitude modulation (PAM-4), achieving 9.12 bits/s/Hz without decoding errors. Additionally, we explore the application of this system for sentiment analysis using the IMDb movie review dataset. By encoding semantically similar symbols to adjacent frequencies, the system’s noise tolerance is effectively improved, facilitating accurate sentiment analysis. This work highlights the potential of MMF-based semantic communication to enhance both capacity and robustness in optical communication systems, offering promising applications in bandwidth-constrained and noisy environments. |
format | Article |
id | doaj-art-2a7d526c6ae3453eb7fda345ee2f4833 |
institution | Kabale University |
issn | 2047-7538 |
language | English |
publishDate | 2025-01-01 |
publisher | Nature Publishing Group |
record_format | Article |
series | Light: Science & Applications |
spelling | doaj-art-2a7d526c6ae3453eb7fda345ee2f48332025-01-26T12:53:13ZengNature Publishing GroupLight: Science & Applications2047-75382025-01-0114111010.1038/s41377-024-01726-5Optical semantic communication through multimode fiber: from symbol transmission to sentiment analysisZheng Gao0Ting Jiang1Mingming Zhang2Hao Wu3Ming Tang4Wuhan National Laboratory for Optoelectronics, Next Generation Internet Access National Engineering Laboratory, and Hubei Optics Valley Laboratory, School of Optical and Electronic Information, Huazhong University of Science and TechnologyWuhan National Laboratory for Optoelectronics, Next Generation Internet Access National Engineering Laboratory, and Hubei Optics Valley Laboratory, School of Optical and Electronic Information, Huazhong University of Science and TechnologyWuhan National Laboratory for Optoelectronics, Next Generation Internet Access National Engineering Laboratory, and Hubei Optics Valley Laboratory, School of Optical and Electronic Information, Huazhong University of Science and TechnologyWuhan National Laboratory for Optoelectronics, Next Generation Internet Access National Engineering Laboratory, and Hubei Optics Valley Laboratory, School of Optical and Electronic Information, Huazhong University of Science and TechnologyWuhan National Laboratory for Optoelectronics, Next Generation Internet Access National Engineering Laboratory, and Hubei Optics Valley Laboratory, School of Optical and Electronic Information, Huazhong University of Science and TechnologyAbstract We propose and validate a novel optical semantic transmission scheme using multimode fiber (MMF). By leveraging the frequency sensitivity of intermodal dispersion in MMFs, we achieve high-dimensional semantic encoding and decoding in the frequency domain. Our system maps symbols to 128 distinct frequencies spaced at 600 kHz intervals, demonstrating a seven-fold increase in capacity compared to conventional communication encoding. We further enhance spectral efficiency by implementing 4-level pulse amplitude modulation (PAM-4), achieving 9.12 bits/s/Hz without decoding errors. Additionally, we explore the application of this system for sentiment analysis using the IMDb movie review dataset. By encoding semantically similar symbols to adjacent frequencies, the system’s noise tolerance is effectively improved, facilitating accurate sentiment analysis. This work highlights the potential of MMF-based semantic communication to enhance both capacity and robustness in optical communication systems, offering promising applications in bandwidth-constrained and noisy environments.https://doi.org/10.1038/s41377-024-01726-5 |
spellingShingle | Zheng Gao Ting Jiang Mingming Zhang Hao Wu Ming Tang Optical semantic communication through multimode fiber: from symbol transmission to sentiment analysis Light: Science & Applications |
title | Optical semantic communication through multimode fiber: from symbol transmission to sentiment analysis |
title_full | Optical semantic communication through multimode fiber: from symbol transmission to sentiment analysis |
title_fullStr | Optical semantic communication through multimode fiber: from symbol transmission to sentiment analysis |
title_full_unstemmed | Optical semantic communication through multimode fiber: from symbol transmission to sentiment analysis |
title_short | Optical semantic communication through multimode fiber: from symbol transmission to sentiment analysis |
title_sort | optical semantic communication through multimode fiber from symbol transmission to sentiment analysis |
url | https://doi.org/10.1038/s41377-024-01726-5 |
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