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

4 Citations (Scopus)

7 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 Communication Conference (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 Communication Conference (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 Communication Conference (OFC 2020), OFC 2020 ; Conference date: 08-03-2020 Through 12-03-2020",

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

}

Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation. / Häger, Christian; Pfister, H.D.; Bütler, Rick M. ; Liga, Gabriele ; Alvarado, Alex .

2020 Optical Fiber Communications Conference and Exhibition (OFC). 2020. 9082974.

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

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 Communication Conference (OFC 2020)

Y2 - 8 March 2020 through 12 March 2020

ER -

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

Abstract

Conference

Keywords

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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

Projects

Fundamentals of the Nonlinear Optical Channel

Cite this