Research on Optimizing Digital Back-Propagation using Coefficient-Optimized Fourth-Order Runge-Kutta in the Interaction Picture

Tianjia Xu, Aiying Yang*, Peng Guo*, Meng Yang, Zhe Zhao, Wenkai Wan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The digital back-propagation (DBP) is a method that can eliminate the effects of dispersion and nonlinearities on the signal during the fiber transmission. The main work of this paper is to replace the split-step Fourier method (SSFM) in DBP with the Fourth-Order Runge-Kutta in interaction picture (RK4IP) for reverse transmission. The article employs Bayesian optimization algorithm (BOA) to optimize the weights of various slopes in RK4IP, making it more suitable for the DBP algorithm. This effectively improves the Q-factor of the received signal at the same complexity level. In the experiment of transmitting the 20 GBaud 16QAM signal over the standard single-mode fiber (SSMF) spanning 9×100 km, the RK4IP-based DBP algorithm achieved the maximum improvement of 0.89 dB in the Q-factor compared to the traditional SSFM-based DBP algorithm at equivalent complexity.

Original languageEnglish
Title of host publicationProceedings of the 29th Opto-Electronics and Communications Conference, OECC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Edition2024
ISBN (Electronic)9798350308396
DOIs
Publication statusPublished - 2024
Externally publishedYes
Event29th Opto-Electronics and Communications Conference, OECC 2024 - Melbourne, Australia
Duration: 30 Jun 20244 Jul 2024

Conference

Conference29th Opto-Electronics and Communications Conference, OECC 2024
Country/TerritoryAustralia
CityMelbourne
Period30/06/244/07/24

Keywords

  • Bayesian optimization algorithm
  • Fourth-Order Runge-Kutta in interaction picture
  • digital back-propagation
  • nonlinear coefficient optimization

Fingerprint

Dive into the research topics of 'Research on Optimizing Digital Back-Propagation using Coefficient-Optimized Fourth-Order Runge-Kutta in the Interaction Picture'. Together they form a unique fingerprint.

Cite this