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 language | English |
|---|---|
| Title of host publication | Optoelectronic Devices and Integration XIII |
| Editors | Xuping Zhang, Baojun Li, Changyuan Yu, Xinliang Zhang |
| Publisher | SPIE |
| Pages | 37-47 |
| ISBN (Electronic) | 9781510682009 |
| DOIs | |
| Publication status | Published - Nov 2024 |
| Event | Optoelectronic Devices and Integration XIII 2024 - Nantong, China Duration: 12 Oct 2024 → 14 Oct 2024 |
Publication series
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Volume | 13236 |
| ISSN (Print) | 0277-786X |
| ISSN (Electronic) | 1996-756X |
Conference
| Conference | Optoelectronic Devices and Integration XIII 2024 |
|---|---|
| Country/Territory | China |
| City | Nantong |
| Period | 12/10/24 → 14/10/24 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 14 Life Below Water
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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