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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Main Authors: Zheng Gao, Ting Jiang, Mingming Zhang, Hao Wu, Ming Tang
Format: Article
Language:English
Published: Nature Publishing Group 2025-01-01
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.
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institution Kabale University
issn 2047-7538
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publishDate 2025-01-01
publisher Nature Publishing Group
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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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