Coherent all Optical Reservoir Computing for Equalization of Impairments in Coherent Fiber Optic Communication Systems
Reservoir computing (RC) is a bio-inspired framework suited for temporal data processing. Here we propose an all optical coherent RC for the equalization of the impairments of fiber optic (FO) system based on coherent detection. We compare the performances of the RC systems based on semiconductor sa...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Photonics Journal |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10681593/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832590395794522112 |
|---|---|
| author | Shiva Kumar Mahmoud M. T. Maghrabi Mohamed H. Bakr Toshihiko Hirooka Masataka Nakazawa |
| author_facet | Shiva Kumar Mahmoud M. T. Maghrabi Mohamed H. Bakr Toshihiko Hirooka Masataka Nakazawa |
| author_sort | Shiva Kumar |
| collection | DOAJ |
| description | Reservoir computing (RC) is a bio-inspired framework suited for temporal data processing. Here we propose an all optical coherent RC for the equalization of the impairments of fiber optic (FO) system based on coherent detection. We compare the performances of the RC systems based on semiconductor saturable absorber mirror (SESAM) and highly nonlinear waveguide (HNLW). For a dispersion managed long haul FO system in which the nonlinear penalty is dominant, we find that the SESAM outperforms the HNLW due to its larger nonlinear memory. In contrast, for the equalization of dispersive impairments in a short haul FO system such as data center networks, we find that the HNLW has a much superior performance due to its larger linear memory. |
| format | Article |
| id | doaj-art-62d5785bb0034fa388cda4a40b506478 |
| institution | Kabale University |
| issn | 1943-0655 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Photonics Journal |
| spelling | doaj-art-62d5785bb0034fa388cda4a40b5064782025-01-24T00:00:47ZengIEEEIEEE Photonics Journal1943-06552024-01-0116511010.1109/JPHOT.2024.346243810681593Coherent all Optical Reservoir Computing for Equalization of Impairments in Coherent Fiber Optic Communication SystemsShiva Kumar0https://orcid.org/0000-0002-9012-2882Mahmoud M. T. Maghrabi1https://orcid.org/0000-0002-7667-6379Mohamed H. Bakr2https://orcid.org/0000-0002-3749-2657Toshihiko Hirooka3https://orcid.org/0000-0002-7446-7119Masataka Nakazawa4https://orcid.org/0000-0001-6323-1445Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, CanadaDepartment of Electrical and Computer Engineering, McMaster University, Hamilton, ON, CanadaDepartment of Electrical and Computer Engineering, McMaster University, Hamilton, ON, CanadaResearch Institute of Electrical Communication, Tohoku University, Sendai, JapanResearch Institute of Electrical Communication, Tohoku University, Sendai, JapanReservoir computing (RC) is a bio-inspired framework suited for temporal data processing. Here we propose an all optical coherent RC for the equalization of the impairments of fiber optic (FO) system based on coherent detection. We compare the performances of the RC systems based on semiconductor saturable absorber mirror (SESAM) and highly nonlinear waveguide (HNLW). For a dispersion managed long haul FO system in which the nonlinear penalty is dominant, we find that the SESAM outperforms the HNLW due to its larger nonlinear memory. In contrast, for the equalization of dispersive impairments in a short haul FO system such as data center networks, we find that the HNLW has a much superior performance due to its larger linear memory.https://ieeexplore.ieee.org/document/10681593/Dispersionfiber opticsfiber nonlinear effectsoptical communicationreservoir computingrecurrent neural network |
| spellingShingle | Shiva Kumar Mahmoud M. T. Maghrabi Mohamed H. Bakr Toshihiko Hirooka Masataka Nakazawa Coherent all Optical Reservoir Computing for Equalization of Impairments in Coherent Fiber Optic Communication Systems IEEE Photonics Journal Dispersion fiber optics fiber nonlinear effects optical communication reservoir computing recurrent neural network |
| title | Coherent all Optical Reservoir Computing for Equalization of Impairments in Coherent Fiber Optic Communication Systems |
| title_full | Coherent all Optical Reservoir Computing for Equalization of Impairments in Coherent Fiber Optic Communication Systems |
| title_fullStr | Coherent all Optical Reservoir Computing for Equalization of Impairments in Coherent Fiber Optic Communication Systems |
| title_full_unstemmed | Coherent all Optical Reservoir Computing for Equalization of Impairments in Coherent Fiber Optic Communication Systems |
| title_short | Coherent all Optical Reservoir Computing for Equalization of Impairments in Coherent Fiber Optic Communication Systems |
| title_sort | coherent all optical reservoir computing for equalization of impairments in coherent fiber optic communication systems |
| topic | Dispersion fiber optics fiber nonlinear effects optical communication reservoir computing recurrent neural network |
| url | https://ieeexplore.ieee.org/document/10681593/ |
| work_keys_str_mv | AT shivakumar coherentallopticalreservoircomputingforequalizationofimpairmentsincoherentfiberopticcommunicationsystems AT mahmoudmtmaghrabi coherentallopticalreservoircomputingforequalizationofimpairmentsincoherentfiberopticcommunicationsystems AT mohamedhbakr coherentallopticalreservoircomputingforequalizationofimpairmentsincoherentfiberopticcommunicationsystems AT toshihikohirooka coherentallopticalreservoircomputingforequalizationofimpairmentsincoherentfiberopticcommunicationsystems AT masatakanakazawa coherentallopticalreservoircomputingforequalizationofimpairmentsincoherentfiberopticcommunicationsystems |