Fiber Channel Modeling Using Kolmogorov-Arnold Network Based Conditional Generative Adversarial Network
A Kolmogorov-Arnold Network (KAN) based Conditional Generative Adversarial Network (CGAN) is proposed for single mode fiber channel modeling. Simulation results demonstrate that the KAN based CGAN aided channel modeling technique is accurate and efficient.
Authors
- Hong Shi (ORCID: https://orcid.org/0000-0003-4597-408X)
- Yongjun Wang (ORCID: https://orcid.org/0000-0002-3242-2027)
- Haifeng Yang
- Qi Zhang (ORCID: https://orcid.org/0000-0002-6030-1791)
- Lu Han (ORCID: https://orcid.org/0000-0002-9241-5793)
- Hui Gao (ORCID: https://orcid.org/0000-0001-7857-6606)
Institutions
- Beijing University of Posts and Telecommunications (CN)
- State Key Laboratory of Information Photonics and Optical Communications
Publication Details
- Published
- 2024-11-02
- DOI
- https://doi.org/10.1109/acp/ipoc63121.2024.10809996
- Primary Topic
- Image and Signal Denoising Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Key Research and Development Program of China