130-GBaud Partial Response Encoded PAM4 IM/DD Transmission Using CNN-Based Decoder
Convolutional neural network is investigated for equalization and decoding in partial response shaped intensity modulation direct detection systems for the first time. Without the channel state information as needed in the MLSE equalizer, 260-Gb/s PR PAM4 transmission can be successfully achieved.
Authors
- Zhixue He (ORCID: https://orcid.org/0000-0001-8533-2247)
- Weisheng Hu (ORCID: https://orcid.org/0000-0002-6168-2688)
- Tonghui Ji (ORCID: https://orcid.org/0000-0003-3453-0248)
- Zhaopeng Xu (ORCID: https://orcid.org/0000-0001-6476-9001)
- Jinlong Wei (ORCID: https://orcid.org/0000-0001-7714-5003)
- Qi Wu (ORCID: https://orcid.org/0000-0002-2591-5800)
- Honglin Ji (ORCID: https://orcid.org/0000-0003-3437-8573)
- Gang Qiao (ORCID: https://orcid.org/0009-0005-6924-0437)
- Yu Yang (ORCID: https://orcid.org/0000-0001-9354-3909)
- Shangcheng Wang (ORCID: https://orcid.org/0009-0000-6791-8519)
- Lulu Liu (ORCID: https://orcid.org/0009-0000-8842-4024)
- Jiali Li (ORCID: https://orcid.org/0000-0002-6007-7793)
Institutions
- Shanghai Jiao Tong University (CN)
- Peking University (CN)
- Peng Cheng Laboratory (CN)
Publication Details
- Published
- 2024-11-02
- DOI
- https://doi.org/10.1109/acp/ipoc63121.2024.10809502
- Primary Topic
- Acoustic Wave Resonator Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Key Research and Development Program of China