Implementation of Noise-Resistant Crowd Equalisation in Optical Communication Systems with Machine Learning DSP

Karina Nurlybayeva; Diego  Argüello Ron; Morteza Kamalian-Kopae; Elena Turitsyna; Sergei Turitsyn

doi:10.1109/acp55869.2022.10088872

Implementation of Noise-Resistant Crowd Equalisation in Optical Communication Systems with Machine Learning DSP

Karina Nurlybayeva
, Diego Argüello Ron^*
, Morteza Kamalian-Kopae
, Elena Turitsyna
, Sergei Turitsyn

^*Corresponding author for this work

Research output: Chapter in Book/Published conference output › Conference publication

2 Citations (Scopus)

67 Downloads (Pure)

Abstract

Abstract—We propose a solution to noisy neural networks employed in future optical communication systems. The proposed approach includes breaking down large networks into smaller ones and forming ”crowds” using these elementary networks.

Original language	English
Title of host publication	Proceedings of the 2022 Asia Communications and Photonics Conference (ACP)
Publisher	IEEE
Pages	753-756
ISBN (Electronic)	9781665481557
DOIs	https://doi.org/10.1109/acp55869.2022.10088872
Publication status	Published - 10 Apr 2023
Event	2022 Asia Communications and Photonics Conference (ACP) and International Conference on Information Photonics and Optical Communications (IPOC) - Shenzen, China Duration: 5 Nov 2022 → 8 Nov 2022

Publication series

Name	Asia Communications and Photonics Conference (ACP) Proceedings
Publisher	IEEE

Conference

Conference	2022 Asia Communications and Photonics Conference (ACP) and International Conference on Information Photonics and Optical Communications (IPOC)
Country/Territory	China
City	Shenzen
Period	5/11/22 → 8/11/22

Bibliographical note

Copyright © 2023, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Funding: This work has received funding from: EU H2020 MSCA project No. 860360 and EPSRC project TRANSNET.

Keywords

Artificial Neural Networks
Equalisation
Computational Complexity
Noise Resilience

Access to Document

10.1109/acp55869.2022.10088872

ACP_CrowdEqualisation_V2
Copyright © 2023, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Accepted author manuscript, 607 KB

Cite this

Nurlybayeva, K., Argüello Ron, D., Kamalian-Kopae, M., Turitsyna, E., & Turitsyn, S. (2023). Implementation of Noise-Resistant Crowd Equalisation in Optical Communication Systems with Machine Learning DSP. In Proceedings of the 2022 Asia Communications and Photonics Conference (ACP) (pp. 753-756). (Asia Communications and Photonics Conference (ACP) Proceedings). IEEE. https://doi.org/10.1109/acp55869.2022.10088872

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keywords = "Artificial Neural Networks, Equalisation, Computational Complexity, Noise Resilience",

author = "Karina Nurlybayeva and \{Arg{\"u}ello Ron\}, Diego and Morteza Kamalian-Kopae and Elena Turitsyna and Sergei Turitsyn",

note = "Copyright {\textcopyright} 2023, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Funding: This work has received funding from: EU H2020 MSCA project No. 860360 and EPSRC project TRANSNET.; 2022 Asia Communications and Photonics Conference (ACP) and International Conference on Information Photonics and Optical Communications (IPOC) ; Conference date: 05-11-2022 Through 08-11-2022",

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Nurlybayeva, K, Argüello Ron, D, Kamalian-Kopae, M, Turitsyna, E & Turitsyn, S 2023, Implementation of Noise-Resistant Crowd Equalisation in Optical Communication Systems with Machine Learning DSP. in Proceedings of the 2022 Asia Communications and Photonics Conference (ACP). Asia Communications and Photonics Conference (ACP) Proceedings, IEEE, pp. 753-756, 2022 Asia Communications and Photonics Conference (ACP) and International Conference on Information Photonics and Optical Communications (IPOC), Shenzen, China, 5/11/22. https://doi.org/10.1109/acp55869.2022.10088872

Implementation of Noise-Resistant Crowd Equalisation in Optical Communication Systems with Machine Learning DSP. / Nurlybayeva, Karina; Argüello Ron, Diego ; Kamalian-Kopae, Morteza et al.
Proceedings of the 2022 Asia Communications and Photonics Conference (ACP). IEEE, 2023. p. 753-756 (Asia Communications and Photonics Conference (ACP) Proceedings).

Research output: Chapter in Book/Published conference output › Conference publication

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AU - Turitsyna, Elena

AU - Turitsyn, Sergei

N1 - Copyright © 2023, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Funding: This work has received funding from: EU H2020 MSCA project No. 860360 and EPSRC project TRANSNET.

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KW - Noise Resilience

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Nurlybayeva K, Argüello Ron D, Kamalian-Kopae M, Turitsyna E, Turitsyn S. Implementation of Noise-Resistant Crowd Equalisation in Optical Communication Systems with Machine Learning DSP. In Proceedings of the 2022 Asia Communications and Photonics Conference (ACP). IEEE. 2023. p. 753-756. (Asia Communications and Photonics Conference (ACP) Proceedings). doi: 10.1109/acp55869.2022.10088872

Implementation of Noise-Resistant Crowd Equalisation in Optical Communication Systems with Machine Learning DSP

Abstract

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Bibliographical note

Keywords

Access to Document

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