Optical semantic communication through multimode fiber: from symbol transmission to sentiment analysis

Zheng Gao; Ting Jiang; Mingming Zhang; Hao Wu; Ming Tang

doi:10.1038/s41377-024-01726-5

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Optical semantic communication through multimode fiber: from symbol transmission to sentiment analysis

Original Articles

- Optical semantic communication through multimode fiber: from symbol transmission to sentiment analysis
- Optical semantic communication through multimode fiber: from symbol transmission to sentiment analysis
- LSA 2025年14卷第2期页码：531-540
- Affiliations：
  
  Wuhan 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 Technology, Wuhan 430074, China
- Author bio：
  
  Hao Wu (wuhaoboom@hust.edu.cn)
  Ming Tang (tangming@mail.hust.edu.cn)
- Funds：
- DOI：10.1038/s41377-024-01726-5
  中图分类号：
- 收稿日期：2024-08-26，
  
  修回日期：2024-12-09，
  
  录用日期：2024-12-17，
  
  网络出版日期：2025-01-23，
  
  纸质出版日期：2025-02-28
- Accepted：
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Optical semantic communication through multimode fiber: from symbol transmission to sentiment analysis[J]. LSA, 2025,14(2):531-540.

Gao, Z. et al. Optical semantic communication through multimode fiber: from symbol transmission to sentiment analysis. Light: Science & Applications, 14, 531-540 (2025).
Optical semantic communication through multimode fiber: from symbol transmission to sentiment analysis[J]. LSA, 2025,14(2):531-540. DOI： 10.1038/s41377-024-01726-5.

Gao, Z. et al. Optical semantic communication through multimode fiber: from symbol transmission to sentiment analysis. Light: Science & Applications, 14, 531-540 (2025). DOI： 10.1038/s41377-024-01726-5.

摘要

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.

关键词

Keywords

references

Lan, Q. et al. What is semantic communication? A view on conveying meaning in the era of machine intelligence. J. Commun. Inf. Netw. 6 , 336–371 (2021)..

Luo, X. W., Chen, H. H. & Guo, Q. Semantic communications: overview, open issues, and future research directions. IEEE Wirel. Commun. 29 , 210–219 (2022)..

Zhang, P. et al. Toward wisdom-evolutionary and primitive-concise 6G: a new paradigm of semantic communication networks. Engineering 8 , 60–73 (2021)..

Huang, H. Y. et al. Semantic optical fiber communication system based on deep learning. Proceedings of 2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings (ACP/POEM) . (IEEE, Wuhan, China, 2023) pp. 1–3.

Xie, H. Q. et al. Deep learning enabled semantic communication systems. IEEE Trans. Signal Process. 69 , 2663–2675 (2021)..

Bruce, G. D. et al. Femtometer-resolved simultaneous measurement of multiple laser wavelengths in a speckle wavemeter. Opt. Lett. 45 , 1926–1929 (2020)..

Wan, Y. Y. et al. Wavemeter capable of simultaneously achieving ultra-high resolution and broad bandwidth by using Rayleigh speckle from single mode fiber. J. Lightwave Technol. 39 , 2223–2229 (2021)..

Bruce, G. D. et al. Overcoming the speckle correlation limit to achieve a fiber wavemeter with attometer resolution. Opt. Lett. 44 , 1367–1370 (2019)..

Gao, Z. et al. Breaking the speed limitation of wavemeter through spectra-space -time mapping. Light 4 , 187–194 (2024)..

Ghatak, A. & Thyagarajan, K. Pulse dispersion in graded index optical fibers. in An Introduction to Fiber Optics (eds Ghatak, A. & Thyagarajan, K.) (Cambridge University Press, Cambridge, 1998) pp. 65–77.

Nathan Kutz, J. N., Cox, J. A. & Smith, D. Mode mixing and power diffusion in multimode optical fibers. J. Lightwave Technol. 16 , 1195–1202 (1998)..

Cao, H. et al. Controlling light propagation in multimode fibers for imaging, spectroscopy, and beyond. Adv. Opt. Photonics 15 , 524–612 (2023)..

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