Auto-encoder optimized PAM IM/DD transceivers for amplified fiber links
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| Title: | Auto-encoder optimized PAM IM/DD transceivers for amplified fiber links |
|---|---|
| Authors: | Omidi, Amir, Banawan, Mai, Weckenmann, Erwan, Paquin, Benoît, Geravand, Alireza, Zheng, Zibo, Shi, Wei, Zeng, Ming, Rusch, Leslie |
| Publisher Information: | Institute of Electrical and Electronics Engineers |
| Publication Year: | 2024 |
| Collection: | Université Laval: CorpusUL |
| Subject Terms: | Optical communications, Pulse amplitude modulation (PAM), Intensity modulation direct detection (IM/DD), Chromatic dispersion (CD), Transceiver optimization, Deep learning, Autoencoders, Télécommunications optiques, Modulation d'impulsions en amplitude, Modulation d'intensité -- Évaluation, Amplificateurs optiques, Apprentissage profond, Codeurs optiques |
| Description: | The use of semiconductor amplifier in integrated transceivers increases sensitivity, but changes the noise statistics in pulse amplitude modulation (PAM) intensity modulation with direct detection. Using a straight-forward, mixed noise model, we optimize constellations for these systems with an autoencoderbased neural network (NN). We improve required signal-to-noise ratio (SNR) by 4 dB for amplified spontaneous emission (ASE)- limited PAM4 and PAM8, without increasing system complexity. Performance can also be improved in O-band wavelength division multiplexing systems with semiconductor optical amplification and chromatic dispersion (CD). At 53 Gbaud, our simulations show we can extend the reach of PAM4 by 4 to 8 km when combining an optimized constellation with a NN decoder. We present an experimental validation of 4 dB improvement of an ASE-limited PAM4 back-to-back transmission at 60 Gbaud using an optimized constellation and a NN decoder. |
| Document Type: | other/unknown material |
| File Description: | application/pdf |
| Language: | English |
| Relation: | https://hdl.handle.net/20.500.11794/155023; 2402.04395v3 |
| DOI: | 10.1109/JLT.2024.3454021 |
| Availability: | https://hdl.handle.net/20.500.11794/155023 https://doi.org/10.1109/JLT.2024.3454021 |
| Rights: | http://purl.org/coar/access_right/c_abf2 |
| Accession Number: | edsbas.93D606D8 |
| Database: | BASE |
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