近日，华中科技大学的唐明&吴豪及其研究团队取得一项新进展。经过不懈努力，他们通过多模光纤实现从符号传递到情感分析的光学语义通信。相关研究成果已于2025年1月23日在国际知名学术期刊《光：科学与应用》上发表。

该研究团队提出并验证了一种基于多模光纤（MMF）的新型光学语义传输方案。通过利用多模光纤中模间色散的频率敏感性，研究人员在频域实现了高维语义编码和解码。

该系统将符号映射到间隔为600千赫的128个不同频率上，与传统通信编码相比，容量提高了七倍。研究人员还通过实施四级脉冲幅度调制（PAM-4），进一步提高了频谱效率，实现了无解码错误的9.12比特/秒/赫兹。

此外，研究人员探索了该系统在情感分析中的应用，使用了IMDb电影评论数据集。通过将语义相似的符号编码到相邻频率上，有效提高了系统的抗噪性能，从而实现了准确的情感分析。这项工作凸显了基于多模光纤的语义通信在提升光学通信系统容量和鲁棒性方面的潜力，为带宽受限和噪声环境下的应用提供了广阔前景。

附：英文原文

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

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

Issue&Volume: 2025-01-23

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 600kHz 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.

DOI: 10.1038/s41377-024-01726-5

Source: https://www.nature.com/articles/s41377-024-01726-5