Robust and Hyper-Efficient Multi-dimensional Optical Fiber Semantic Communication
Abstract
The growing demands of artificial intelligence and immersive media require communication beyond bit-level accuracy to meaning awareness. Conventional optical systems that focused on syntactic precision suffer significant inefficiencies. Here, we introduce a multi-dimensional semantic communication framework that bridges this gap by directly mapping high-level semantic features onto the orthogonal physical dimensions of light, frequency, polarization, and intensity, within a multimode fiber. This synergistic co-design of semantic logic and the photonic channel achieve an unprecedented equivalent spectral efficiency approaching 1000 bit/s/Hz. Moreover, it demonstrates profound resilience, maintaining high-fidelity reconstruction even when the physical-layer symbol error rate exceeds 36%, a condition under which conventional communication systems fail completely. Crucially, this deeply integrated co-design of semantic encoding and physical-layer modulation enables full semantic demodulation with only single-ended intensity detection, therefore significantly reducing system complexity and cost. This work establishes a validated pathway toward hyper-efficient, error-resilient optical networks for the next generation of data-intensive computing.
Cite
@article{arxiv.2510.18230,
title = {Robust and Hyper-Efficient Multi-dimensional Optical Fiber Semantic Communication},
author = {Yuxuan Xiong and Ziwen Zhou and Jixing Ren and Jingze Liu and Zheng Gao and Ting Jiang and Xuchen Hua and Gengqi Yao and Yuqi Li and Mingming Zhang and Hao Wu and Siqi Yan and Ming Tang},
journal= {arXiv preprint arXiv:2510.18230},
year = {2025}
}