Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation

Christian Häger; H.D. Pfister; Rick M.  Bütler; Gabriele Liga; Alex  Alvarado

Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation

Christian Häger, H.D. Pfister, Rick M. Bütler, Gabriele Liga, Alex Alvarado

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

6 Citations (Scopus)

54 Downloads (Pure)

Abstract

We propose a model-based machine-learning approach for polarization-multiplexed systems by parameterizing the split-step method for the Manakov-PMD equation. This approach performs hardware-friendly DBP and distributed PMD compensation with performance close to the PMD-free case.

Original language	English
Title of host publication	2020 Optical Fiber Communications Conference and Exhibition (OFC)
ISBN (Electronic)	978-1-9435-8071-2
Publication status	Published - 13 May 2020
Event	2020 Optical Fiber Communications Conference and Exhibition, OFC 2020 - San Diego, United States Duration: 8 Mar 2020 → 12 Mar 2020 https://www.ofcconference.org/en-us/home/

Conference

Conference	2020 Optical Fiber Communications Conference and Exhibition, OFC 2020
Abbreviated title	OFC 2020
Country/Territory	United States
City	San Diego
Period	8/03/20 → 12/03/20
Internet address	https://www.ofcconference.org/en-us/home/

Keywords

(060.0060) Fiber optics and optical communications
(060.2330) Fiber optics communications

Access to Document

2001.09277Submitted manuscript, 224 KBLicence: CC BY

Cite this

@inproceedings{cd9c374f585349ffba85fb83f6420972,

title = "Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation",

abstract = "We propose a model-based machine-learning approach for polarization-multiplexed systems by parameterizing the split-step method for the Manakov-PMD equation. This approach performs hardware-friendly DBP and distributed PMD compensation with performance close to the PMD-free case.",

keywords = "(060.0060) Fiber optics and optical communications, (060.2330) Fiber optics communications",

author = "Christian H{\"a}ger and H.D. Pfister and B{\"u}tler, {Rick M.} and Gabriele Liga and Alex Alvarado",

year = "2020",

month = may,

day = "13",

language = "English",

booktitle = "2020 Optical Fiber Communications Conference and Exhibition (OFC)",

note = "2020 Optical Fiber Communications Conference and Exhibition, OFC 2020, OFC 2020 ; Conference date: 08-03-2020 Through 12-03-2020",

url = "https://www.ofcconference.org/en-us/home/",

}

Häger, C, Pfister, HD, Bütler, RM, Liga, G & Alvarado, A 2020, Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation. in 2020 Optical Fiber Communications Conference and Exhibition (OFC)., 9082974, 2020 Optical Fiber Communications Conference and Exhibition, OFC 2020, San Diego, California, United States, 8/03/20. <https://arxiv.org/pdf/2001.09277.pdf>

TY - GEN

T1 - Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation

AU - Häger, Christian

AU - Pfister, H.D.

AU - Bütler, Rick M.

AU - Liga, Gabriele

AU - Alvarado, Alex

PY - 2020/5/13

Y1 - 2020/5/13

N2 - We propose a model-based machine-learning approach for polarization-multiplexed systems by parameterizing the split-step method for the Manakov-PMD equation. This approach performs hardware-friendly DBP and distributed PMD compensation with performance close to the PMD-free case.

AB - We propose a model-based machine-learning approach for polarization-multiplexed systems by parameterizing the split-step method for the Manakov-PMD equation. This approach performs hardware-friendly DBP and distributed PMD compensation with performance close to the PMD-free case.

KW - (060.0060) Fiber optics and optical communications

KW - (060.2330) Fiber optics communications

UR - http://www.scopus.com/inward/record.url?scp=85085173948&partnerID=8YFLogxK

M3 - Conference contribution

BT - 2020 Optical Fiber Communications Conference and Exhibition (OFC)

T2 - 2020 Optical Fiber Communications Conference and Exhibition, OFC 2020

Y2 - 8 March 2020 through 12 March 2020

ER -

Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation

Abstract

Conference

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Fingerprint

Fundamentals of the Nonlinear Optical Channel

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Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

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Fundamentals of the Nonlinear Optical Channel

Cite this