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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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