Abstract
We propose to integrate MLP-Mixer with feature decoupling distributed technique for modeling the signal propagation in optical fiber channel.It exhibits high accuracy and low complexity, especially in the long-haul wavelength division multiplexing transmission scenarios.
Original language | English |
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Title of host publication | 2024 Asia Communications and Photonics Conference, ACP 2024 and International Conference on Information Photonics and Optical Communications, IPOC 2024 |
Publisher | Optica Publishing Group (formerly OSA) |
ISBN (Electronic) | 9798350379266 |
DOIs | |
Publication status | Published - 2024 |
Event | 2024 Asia Communications and Photonics Conference, ACP 2024 and International Conference on Information Photonics and Optical Communications, IPOC 2024 - Beijing, China Duration: 2 Nov 2024 → 5 Nov 2024 |
Publication series
Name | Asia Communications and Photonics Conference, ACP |
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ISSN (Print) | 2162-108X |
Conference
Conference | 2024 Asia Communications and Photonics Conference, ACP 2024 and International Conference on Information Photonics and Optical Communications, IPOC 2024 |
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Country/Territory | China |
City | Beijing |
Period | 2/11/24 → 5/11/24 |
Keywords
- MLP-Mixer
- channel modeling
- neural network
- simulation technique
- wavelength division multiplexing
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Fu, Y., Bo, T., Zhai, M., Zhou, Y., Zhuang, W., Tan, Z., & Dong, Y. (2024). MLP-Mixer for Optical Fiber Channel Modeling in WDM Transmission System based on Feature Decoupling Distributed Method. In 2024 Asia Communications and Photonics Conference, ACP 2024 and International Conference on Information Photonics and Optical Communications, IPOC 2024 (Asia Communications and Photonics Conference, ACP). Optica Publishing Group (formerly OSA). https://doi.org/10.1109/ACP/IPOC63121.2024.10809911