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2025

New Breakthrough in Semantic Optical Communication: Multimode Fiber Spectrum Coding Achieves Efficient Transmission

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Recently, the School of Optoelectronics at Huazhong University of Science and TechnologyProfessor Tang Mingled a research team that, relying on its strong research foundation in the field of optical fiber communication, developed a new type of semantic optical communication system. This system utilizes the frequency sensitivity and intermodal dispersion characteristics of multimode fibers to achieve the encoding, decoding, and transmission of semantic information. This achievement is titled “Optical semantic communication through multimode fiber: from symbol transmission to sentiment analysis” and was published inLight: Science & Applications, Huazhong University of Science and TechnologyPhD student Gao Zhengis the first author of this paper, and Huazhong University of Science and TechnologyProfessor Tang MingandAssociate Researcher Wu Haois the corresponding author.

With the continuous increase in communication capacity demands, traditional communication systems face enormous challenges. Semantic communication, as an emerging technology, emphasizes the transmission of meaningful information rather than raw data, thereby optimizing communication resources and improving transmission efficiency. The transmission of semantic information is crucial for semantic communication systems, as fading and noise in the optical communication physical transmission channel can lead to the loss of transmitted semantic information, resulting in semantic distortion. Current solutions mainly focus on optimizing channel coding and decoding, with little connection to the semantic information behind the bit signals. To address the limitations of current solutions, it is necessary to explore new transmission media and physical layer transmission schemes that better support the unique needs of semantic communication. Therefore, the research team proposed mapping semantic symbols to optical frequencies and directly transmitting semantic symbols rather than their binary representations, combined with the frequency-sensitive characteristics of multimode fiber speckle.

High spectral efficiency multimode fiber semantic information transmission

In recent years, the speckle analysis technology of multimode fibers has shown unique advantages in applications such as spectral analysis and image transmission. Unlike traditional low-speed speckle measurement techniques using cameras, the research team proposed utilizing the intermodal dispersion characteristics of fibers to perform high-speed measurements in the time domain, breaking through the limitations of camera frame rates on signal transmission rates. By mapping semantic symbols to different frequencies, the researchers demonstrated a sevenfold increase in transmission capacity and achieved an equivalent spectral efficiency of 9.12 bits/s/Hz with PAM-4 modulation.

Semantic sentiment analysis

In addition to improving transmission efficiency, the researchers also explored the application of this system in sentiment analysis, achieving high accuracy in sentence sentiment analysis using the IMDb movie review dataset. By encoding semantically similar symbols to adjacent frequencies, the system effectively improved noise tolerance, enabling accurate sentiment analysis even under high symbol error rate conditions.

Summary and Outlook

This research combines the transmission requirements of semantic communication systems with the physical characteristics of multimode fibers, demonstrating potential in enhancing communication capacity and robustness. Further research will focus on optimizing system performance, increasing transmission rates and stability. In the future, as semantic communication technology continues to develop and improve, this system is expected to be applied in more practical scenarios.

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