Robust and Hyper-Efficient Multi-dimensional Optical Fiber Semantic Communication

TL;DR

This paper presents a novel multi-dimensional optical fiber semantic communication system that achieves near 1000 bit/s/Hz efficiency and high resilience to errors, enabling more meaningful and efficient data transmission over optical networks.

Contribution

It introduces a co-designed semantic and physical-layer optical communication framework that significantly improves efficiency and error resilience compared to traditional methods.

Findings

Achieves spectral efficiency approaching 1000 bit/s/Hz.

Maintains high-fidelity transmission with symbol error rates over 36%.

Enables full semantic demodulation with single-ended intensity detection.

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.