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Open access Aug 2026

Adaptive Dynamic Learning for Efficient Long‐Term Image Transmission Through Unstable Multi‐Mode Fibers

Multi‐mode fibers (MMFs) support high‐capacity optical transmission, making them ideal carriers for remote imaging and high‐throughput optical communication. However, the variable transmission channels of MMF pose major challenges for long‐distance, high‐precision spatial information delivery. Existing static model...

Wei Zhou, Jun Wang, Yu Tian et al. · 0 citations
2026

Advancing End-to-End Communication Systems With Physics-Aware Learning

The advent of neural network (NN)-based autoencoders has enabled joint transceiver optimization via end-to-end (E2E) learning. However, most existing approaches rely on differentiable surrogate channel models, leading to performance mismatch when deployed over real-world channels. Emerging model-free variants alleviate...

Yuan Wei, Chao-Xu Chen, Li Yao et al. · 0 citations
Open access Jul 2026

DirectDemodNet: An End-to-End Neural Demodulator for Polarization-Diverse Underwater Visible Light Communication

We demonstrate an underwater visible light communication system using a circularly polarized 520 nm laser transmitter, 32APSK modulation, and a polarization-diverse dual-aperture receiver. An end-to-end post-equalization network, DirectDemodNet, directly maps dual-polarization received waveforms to 32APSK symbol logits...

Shengyao Yan, Bokai Hou, Zhe Feng et al. · 0 citations

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