Power control of ultra-wideband optical communication system based on optimization algorithm

Xingyu Zhu, Jing Zhou, Changyuan Yu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

In order to address the challenges brought by high bandwidth requirements to optical communication networks and improve the capacity of ultra-wideband wavelength division multiplexing systems, an optical power optimization algorithm based on the marine predator algorithm is used to optimize the launched power to achieve the goal of maximizing channel capacity. At the same time, the maximum capacity strategy, high and flat capacity strategy, and flattest capacity strategy are applied to meet different transmission requirements, achieving a balance between capacity and ripple. The simulation results show that compared with the brute force search method, the marine predator algorithm-based optimization algorithm significantly reduces the optimization time required and achieves advantages in both total capacity and ripple flatness. This method can be used to quickly optimize optical network design before actual deployment.

Original languageEnglish
Title of host publicationOptoelectronic Devices and Integration XIII
EditorsXuping Zhang, Baojun Li, Changyuan Yu, Xinliang Zhang
PublisherSPIE
ISBN (Electronic)9781510682009
DOIs
Publication statusPublished - Nov 2024
EventOptoelectronic Devices and Integration XIII 2024 - Nantong, China
Duration: 12 Oct 202414 Oct 2024

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume13236
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceOptoelectronic Devices and Integration XIII 2024
Country/TerritoryChina
CityNantong
Period12/10/2414/10/24

Keywords

  • Marine Predator Algorithms
  • Optical Communication Networks
  • Optimization Algorithms
  • Ultra-wideband Wavelength Division Multiplexing

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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