Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 38,
  • Issue 11,
  • pp. 3059-3066
  • (2020)

Neural Turbo Equalization: Deep Learning for Fiber-Optic Nonlinearity Compensation

Not Accessible

Your library or personal account may give you access

Abstract

Recently, data-driven approaches motivated by modern deep learning have been applied to optical communications in place of traditional model-based counterparts. The application of deep neural networks (DNN) allows flexible statistical analysis of complicated fiber-optic systems without relying on any specific physical models. Due to the inherent nonlinearity in DNN, various equalizers based on DNN have shown significant potential to mitigate fiber nonlinearity. In this paper, we propose turbo equalization (TEQ) based on DNN as a new alternative framework to deal with nonlinear fiber impairments. The proposed DNN-TEQ is constructed with nested deep residual networks (ResNet) to train extrinsic likelihood given soft-information feedback from channel decoding. Through extrinsic information transfer (EXIT) analysis, we verify that our DNN-TEQ can accelerate decoding convergence to achieve a significant gain in achievable throughput by 0.61 b/s/Hz. We also demonstrate that optimizing irregular low-density parity-check (LDPC) codes based on the EXIT chart of the DNN-TEQ can improve achievable rates by up to 0.12 b/s/Hz.

PDF Article
More Like This
Compensation of nonlinear distortion in coherent optical OFDM systems using a MIMO deep neural network-based equalizer

Ivan Aldaya, Elias Giacoumidis, Athanasios Tsokanos, Mutsam Jarajreh, Yannuo Wen, Jinlong Wei, Gabriel Campuzano, Marcelo L. F. Abbade, and Liam P. Barry
Opt. Lett. 45(20) 5820-5823 (2020)

Suppression of Fiber Nonlinearities and PMD in Coded-Modulation Schemes With Coherent Detection by Using Turbo Equalization

Ivan B. Djordjevic, Lyubomir L. Minkov, Lei Xu, and Ting Wang
J. Opt. Commun. Netw. 1(6) 555-564 (2009)

Turbo Equalization Techniques Toward Robust PDM 16-QAM Optical Fiber Transmission

Valeria Arlunno, Antonio Caballero, Robert Borkowski, Silvia Saldaña Cercós, Darko Zibar, Knud J. Larsen, and Idelfonso Tafur Monroy
J. Opt. Commun. Netw. 6(2) 204-214 (2014)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved