Computationally-Efficient Quantized Volterra Nonlinear Equalizer for IM/DD Systems
We propose uniform/non-uniform quantized Volterra and V-DFE receivers for hardware-efficient nonlinear equalization in IM/DD systems. Compared with conventional floating-point-based approaches, experimental results show that the required receiver memory can be reduced by more than half while maintaining acceptable system performance.
Authors
- 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)
- Yuan Jiang (ORCID: https://orcid.org/0000-0003-4307-0562)
- Yang Yu (ORCID: https://orcid.org/0000-0003-4669-934X)
- Honglin Ji (ORCID: https://orcid.org/0000-0003-3437-8573)
- Lei Zhao (ORCID: https://orcid.org/0000-0002-0732-648X)
- Qi Wu (ORCID: https://orcid.org/0000-0002-1196-226X)
- Jianwei Tang (ORCID: https://orcid.org/0009-0007-6506-0046)
- Lulu Liu (ORCID: https://orcid.org/0000-0002-9601-6909)
- Cancan Chen (ORCID: https://orcid.org/0000-0001-9743-0581)
- Jianghao Li
- Junpeng Liang (ORCID: https://orcid.org/0000-0002-0594-9579)
- Shangcheng Wang (ORCID: https://orcid.org/0009-0000-6791-8519)
Institutions
- Sun Yat-sen University (CN)
- Shanghai Jiao Tong University (CN)
- Peng Cheng Laboratory (CN)
Publication Details
- Published
- 2024-11-02
- DOI
- https://doi.org/10.1109/acp/ipoc63121.2024.10809770
- Citations
- 2
- Primary Topic
- Advanced Adaptive Filtering Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.75