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通过多模光纤的光语义通信:从符号传输到情感分析。

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

作者信息

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

机构信息

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.

出版信息

Light Sci Appl. 2025 Jan 23;14(1):60. doi: 10.1038/s41377-024-01726-5.

DOI:10.1038/s41377-024-01726-5
PMID:39848979
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11758025/
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.

摘要

我们提出并验证了一种使用多模光纤(MMF)的新型光语义传输方案。通过利用多模光纤中模间色散的频率敏感性,我们在频域中实现了高维语义编码和解码。我们的系统将符号映射到以600 kHz间隔隔开的128个不同频率,与传统通信编码相比,容量提高了七倍。我们通过实现4级脉冲幅度调制(PAM-4)进一步提高了频谱效率,在无解码错误的情况下实现了9.12比特/秒/赫兹。此外,我们使用IMDb电影评论数据集探索了该系统在情感分析中的应用。通过将语义相似的符号编码到相邻频率,有效提高了系统的噪声容忍度,便于进行准确的情感分析。这项工作突出了基于多模光纤的语义通信在增强光通信系统容量和鲁棒性方面的潜力,在带宽受限和嘈杂环境中具有广阔的应用前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a94c/11758025/3ff7c3113730/41377_2024_1726_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a94c/11758025/e1cfd6d178d4/41377_2024_1726_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a94c/11758025/76bd139a7cf8/41377_2024_1726_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a94c/11758025/b0e071e05a26/41377_2024_1726_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a94c/11758025/3870501e07b5/41377_2024_1726_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a94c/11758025/c506c1398e04/41377_2024_1726_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a94c/11758025/f4b005061e8e/41377_2024_1726_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a94c/11758025/59fe1f571c17/41377_2024_1726_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a94c/11758025/3ff7c3113730/41377_2024_1726_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a94c/11758025/e1cfd6d178d4/41377_2024_1726_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a94c/11758025/76bd139a7cf8/41377_2024_1726_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a94c/11758025/b0e071e05a26/41377_2024_1726_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a94c/11758025/3870501e07b5/41377_2024_1726_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a94c/11758025/c506c1398e04/41377_2024_1726_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a94c/11758025/f4b005061e8e/41377_2024_1726_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a94c/11758025/59fe1f571c17/41377_2024_1726_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a94c/11758025/3ff7c3113730/41377_2024_1726_Fig8_HTML.jpg

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