摘要
An autoencoder supporting joint geometric and probabilistic shaping is proposed that can achieve global optimization of optical fiber communication systems with aid of conditional generative adversarial network. Result shows that bit error rate is reduced by 12% compared to a probabilistic shaping-only signal with the same entropy.
源语言 | 英语 |
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主期刊名 | 2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023 |
出版商 | Institute of Electrical and Electronics Engineers Inc. |
ISBN(电子版) | 9798350312614 |
DOI | |
出版状态 | 已出版 - 2023 |
活动 | 2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023 - Wuhan, 中国 期限: 4 11月 2023 → 7 11月 2023 |
出版系列
姓名 | 2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023 |
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会议
会议 | 2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023 |
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国家/地区 | 中国 |
市 | Wuhan |
时期 | 4/11/23 → 7/11/23 |
指纹
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Li, Y., Chang, H., Zhang, Q., Xin, X., Gao, R., Tian, F., Tian, Q., Wang, F., & Li, Z. (2023). A CGAN-aided Autoencoder Supporting Joint Geometric Probabilistic Shaping for Optical Fiber Communication System. 在 2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023 (2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACP/POEM59049.2023.10369733