Neural-Network-Based Nonlinearity Equalizer for 128 GBaud Coherent Transcievers

Vladislav Neskorniuk; Fred Buchali; Vinod Bajaj; Sergei K. Turitsyn; Jaroslaw E. Prilepsky; Vahid Aref

Neural-Network-Based Nonlinearity Equalizer for 128 GBaud Coherent Transcievers

Vladislav Neskorniuk, Fred Buchali, Vinod Bajaj, Sergei K. Turitsyn, Jaroslaw E. Prilepsky, Vahid Aref

Team Gabriel Gleizer

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

4 Citations (SciVal)

Abstract

We propose an efficient neural-network-based equalization jointly compensating fiber and transceiver nonlinearities for high-symbol-rate coherent short-reach links. Providing about 0.9 dB extra SNR gain, it allows achieving experimentally the record single-channel 1.48 Tbps net rate over 240 km G.652 fiber.

Original language	English
Title of host publication	Proceedings of the Optical Fiber Communications Conference and Exhibition, OFC 2021
Place of Publication	Piscataway, NJ, USA
Publisher	IEEE
Number of pages	3
ISBN (Electronic)	978-1-943580-86-6
Publication status	Published - 2021
Event	2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - San Francisco, United States Duration: 6 Jun 2021 → 11 Jun 2021

Conference

Conference	2021 Optical Fiber Communications Conference and Exhibition, OFC 2021
Country/Territory	United States
City	San Francisco
Period	6/06/21 → 11/06/21

Cite this

@inproceedings{30f9a6caa91041c8b70f532ce5f70433,

title = "Neural-Network-Based Nonlinearity Equalizer for 128 GBaud Coherent Transcievers",

abstract = "We propose an efficient neural-network-based equalization jointly compensating fiber and transceiver nonlinearities for high-symbol-rate coherent short-reach links. Providing about 0.9 dB extra SNR gain, it allows achieving experimentally the record single-channel 1.48 Tbps net rate over 240 km G.652 fiber.",

author = "Vladislav Neskorniuk and Fred Buchali and Vinod Bajaj and Turitsyn, {Sergei K.} and Prilepsky, {Jaroslaw E.} and Vahid Aref",

year = "2021",

language = "English",

booktitle = "Proceedings of the Optical Fiber Communications Conference and Exhibition, OFC 2021",

publisher = "IEEE",

address = "United States",

note = "2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 ; Conference date: 06-06-2021 Through 11-06-2021",

}

Neskorniuk, V, Buchali, F, Bajaj, V, Turitsyn, SK, Prilepsky, JE & Aref, V 2021, Neural-Network-Based Nonlinearity Equalizer for 128 GBaud Coherent Transcievers. in Proceedings of the Optical Fiber Communications Conference and Exhibition, OFC 2021 ., 9489740, IEEE, Piscataway, NJ, USA, 2021 Optical Fiber Communications Conference and Exhibition, OFC 2021, San Francisco, United States, 6/06/21.

Neural-Network-Based Nonlinearity Equalizer for 128 GBaud Coherent Transcievers. / Neskorniuk, Vladislav; Buchali, Fred; Bajaj, Vinod et al.
Proceedings of the Optical Fiber Communications Conference and Exhibition, OFC 2021 . Piscataway, NJ, USA: IEEE, 2021. 9489740.

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

TY - GEN

T1 - Neural-Network-Based Nonlinearity Equalizer for 128 GBaud Coherent Transcievers

AU - Neskorniuk, Vladislav

AU - Buchali, Fred

AU - Bajaj, Vinod

AU - Turitsyn, Sergei K.

AU - Prilepsky, Jaroslaw E.

AU - Aref, Vahid

PY - 2021

Y1 - 2021

N2 - We propose an efficient neural-network-based equalization jointly compensating fiber and transceiver nonlinearities for high-symbol-rate coherent short-reach links. Providing about 0.9 dB extra SNR gain, it allows achieving experimentally the record single-channel 1.48 Tbps net rate over 240 km G.652 fiber.

AB - We propose an efficient neural-network-based equalization jointly compensating fiber and transceiver nonlinearities for high-symbol-rate coherent short-reach links. Providing about 0.9 dB extra SNR gain, it allows achieving experimentally the record single-channel 1.48 Tbps net rate over 240 km G.652 fiber.

UR - http://www.scopus.com/inward/record.url?scp=85112070622&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85112070622

BT - Proceedings of the Optical Fiber Communications Conference and Exhibition, OFC 2021

PB - IEEE

CY - Piscataway, NJ, USA

T2 - 2021 Optical Fiber Communications Conference and Exhibition, OFC 2021

Y2 - 6 June 2021 through 11 June 2021

ER -

Neural-Network-Based Nonlinearity Equalizer for 128 GBaud Coherent Transcievers

Abstract

Conference

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