End-to-End Learning of Joint Noise Shaping and Probabilistic Shaping for OAM Mode Division Multiplexing Transmission
We propose and experimentally demonstrate an end-to-end learning of joint noise shaping and probabilistic shaping in OAM-MDM system. The proposed joint shaping technology outperformed conventional technology with improvements in receiver sensitivity of 1.5 and 1.7dB.
Authors
- Ran Gao (ORCID: https://orcid.org/0000-0003-2666-1643)
- Xiangjun Xin (ORCID: https://orcid.org/0000-0002-1690-056X)
- Zhaohui Cheng
- Qi Xu (ORCID: https://orcid.org/0000-0002-0138-593X)
- Yi Cui (ORCID: https://orcid.org/0009-0007-7434-469X)
- Fei Wang (ORCID: https://orcid.org/0000-0003-1482-2235)
Institutions
- Beijing Institute of Technology (CN)
- Beijing University of Posts and Telecommunications (CN)
Publication Details
- Published
- 2024-11-02
- DOI
- https://doi.org/10.1109/acp/ipoc63121.2024.10809950
- Primary Topic
- Spectroscopy Techniques in Biomedical and Chemical Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00