Spiking Neural Network Based Nonlinear Equalizer for Optical Communication
In this paper, a spiking neural network-based nonlinear equalization algorithm for optical communication is proposed and validated in a 64-QAM coherent optical communication system. Compared with other traditional artificial neural network algorithms, the spiking neural network has a lower computational complexity
Authors
- Xingyuan Huang
- Haifeng Yang
- Lu Han (ORCID: https://orcid.org/0000-0001-8152-0427)
- Xiying Ding
- Dewen Chen
- Yongjun Wang (ORCID: https://orcid.org/0000-0002-9112-816X)
Institutions
- Beijing University of Posts and Telecommunications (CN)
Publication Details
- Published
- 2024-12-13
- DOI
- https://doi.org/10.1109/iccc62609.2024.10941913
- Primary Topic
- Neural Networks and Reservoir Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00