Fully-blind Neural Network Based Equalization for Severe Nonlinear Distortions in 112 Gbit/s Passive Optical Networks
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arXiv
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| Hauptverfasser: | , , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866916095457230848 |
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| author | Lauinger, Vincent Matalla, Patrick Ney, Jonas Wehn, Norbert Randel, Sebastian Schmalen, Laurent |
| author_facet | Lauinger, Vincent Matalla, Patrick Ney, Jonas Wehn, Norbert Randel, Sebastian Schmalen, Laurent |
| contents | We demonstrate and evaluate a fully-blind digital signal processing (DSP) chain for 100G passive optical networks (PONs), and analyze different equalizer topologies based on neural networks with low hardware complexity. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_09579 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Fully-blind Neural Network Based Equalization for Severe Nonlinear Distortions in 112 Gbit/s Passive Optical Networks Lauinger, Vincent Matalla, Patrick Ney, Jonas Wehn, Norbert Randel, Sebastian Schmalen, Laurent Signal Processing Machine Learning We demonstrate and evaluate a fully-blind digital signal processing (DSP) chain for 100G passive optical networks (PONs), and analyze different equalizer topologies based on neural networks with low hardware complexity. |
| title | Fully-blind Neural Network Based Equalization for Severe Nonlinear Distortions in 112 Gbit/s Passive Optical Networks |
| topic | Signal Processing Machine Learning |
| url | https://arxiv.org/abs/2401.09579 |