Efficient Training of Volterra Series-Based Pre-distortion Filter Using Neural Networks

V. Bajaj; Mathieu Chagnon; S. Wahls; Vahid Aref

doi:10.1364/OFC.2022.M1H.3

Efficient Training of Volterra Series-Based Pre-distortion Filter Using Neural Networks

V. Bajaj, Mathieu Chagnon, S. Wahls, Vahid Aref

Team Sander Wahls

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Abstract

We present a simple, efficient “direct learning” approach to train Volterra series-based pre-distortion filters using neural networks. We show its superior performance over conventional training methods using a 64-QAM 64 GBaud simulated transmitter with varying transmitter nonlinearity and noisy conditions.

Original language	English
Title of host publication	Proceedings of the Optical Fiber Communications Conference and Exhibition (OFC 2022)
Publisher	Optica Publishing Group (formerly OSA)
Number of pages	3
ISBN (Electronic)	978-1-55752-466-9
DOIs	https://doi.org/10.1364/OFC.2022.M1H.3
Publication status	Published - 2022
Event	2022 Optical Fiber Communications Conference and Exhibition (OFC) - San Diego, United States Duration: 6 Mar 2022 → 10 Mar 2022

Conference

Conference	2022 Optical Fiber Communications Conference and Exhibition (OFC)
Country/Territory	United States
City	San Diego
Period	6/03/22 → 10/03/22

Access to Document

10.1364/OFC.2022.M1H.3

Cite this

@inproceedings{4b610b5915eb4b84bbeffd9c3473b92b,

title = "Efficient Training of Volterra Series-Based Pre-distortion Filter Using Neural Networks",

abstract = "We present a simple, efficient “direct learning” approach to train Volterra series-based pre-distortion filters using neural networks. We show its superior performance over conventional training methods using a 64-QAM 64 GBaud simulated transmitter with varying transmitter nonlinearity and noisy conditions.",

author = "V. Bajaj and Mathieu Chagnon and S. Wahls and Vahid Aref",

year = "2022",

doi = "10.1364/OFC.2022.M1H.3",

language = "English",

booktitle = "Proceedings of the Optical Fiber Communications Conference and Exhibition (OFC 2022)",

publisher = "Optica Publishing Group (formerly OSA)",

note = "2022 Optical Fiber Communications Conference and Exhibition (OFC) ; Conference date: 06-03-2022 Through 10-03-2022",

}

Bajaj, V, Chagnon, M, Wahls, S & Aref, V 2022, Efficient Training of Volterra Series-Based Pre-distortion Filter Using Neural Networks. in Proceedings of the Optical Fiber Communications Conference and Exhibition (OFC 2022)., M1H.3, Optica Publishing Group (formerly OSA), 2022 Optical Fiber Communications Conference and Exhibition (OFC), San Diego, California, United States, 6/03/22. https://doi.org/10.1364/OFC.2022.M1H.3

Efficient Training of Volterra Series-Based Pre-distortion Filter Using Neural Networks. / Bajaj, V.; Chagnon, Mathieu; Wahls, S. et al.
Proceedings of the Optical Fiber Communications Conference and Exhibition (OFC 2022). Optica Publishing Group (formerly OSA), 2022. M1H.3.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Efficient Training of Volterra Series-Based Pre-distortion Filter Using Neural Networks

AU - Bajaj, V.

AU - Chagnon, Mathieu

AU - Wahls, S.

AU - Aref, Vahid

PY - 2022

Y1 - 2022

N2 - We present a simple, efficient “direct learning” approach to train Volterra series-based pre-distortion filters using neural networks. We show its superior performance over conventional training methods using a 64-QAM 64 GBaud simulated transmitter with varying transmitter nonlinearity and noisy conditions.

AB - We present a simple, efficient “direct learning” approach to train Volterra series-based pre-distortion filters using neural networks. We show its superior performance over conventional training methods using a 64-QAM 64 GBaud simulated transmitter with varying transmitter nonlinearity and noisy conditions.

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85136928360&origin=inward&txGid=6eea8a380286cf8fea430ae989bb4604

U2 - 10.1364/OFC.2022.M1H.3

DO - 10.1364/OFC.2022.M1H.3

M3 - Conference contribution

BT - Proceedings of the Optical Fiber Communications Conference and Exhibition (OFC 2022)

PB - Optica Publishing Group (formerly OSA)

T2 - 2022 Optical Fiber Communications Conference and Exhibition (OFC)

Y2 - 6 March 2022 through 10 March 2022

ER -

Efficient Training of Volterra Series-Based Pre-distortion Filter Using Neural Networks

Abstract

Conference

Access to Document

Other files and links

Fingerprint

Cite this