Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/114629
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dc.contributorDepartment of Electrical and Electronic Engineering-
dc.creatorZhu, X-
dc.creatorZhou, J-
dc.creatorYu, C-
dc.date.accessioned2025-08-18T03:02:24Z-
dc.date.available2025-08-18T03:02:24Z-
dc.identifier.issn0277-786X-
dc.identifier.urihttp://hdl.handle.net/10397/114629-
dc.descriptionSPIE/COS Photonics Asia, 12-15 October 2024, Nantong, Jiangsu, Chinaen_US
dc.language.isoenen_US
dc.publisherSPIE - International Society for Optical Engineeringen_US
dc.rightsCopyright 2024 Society of Photo‑Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited.en_US
dc.rightsThe following publication Xingyu Zhu, Jing Zhou, and Changyuan Yu "Power control of ultra-wideband optical communication system based on optimization algorithm", Proc. SPIE 13236, Optoelectronic Devices and Integration XIII, 132360F (27 November 2024) is available at https://doi.org/10.1117/12.3035357.en_US
dc.subjectMarine Predator Algorithmsen_US
dc.subjectOptical Communication Networksen_US
dc.subjectOptimization Algorithmsen_US
dc.subjectUltra-wideband Wavelength Division Multiplexingen_US
dc.titlePower control of ultra-wideband optical communication system based on optimization algorithmen_US
dc.typeConference Paperen_US
dc.identifier.volume13236-
dc.identifier.doi10.1117/12.3035357-
dcterms.abstractIn 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.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationProceedings of SPIE : the International Society for Optical Engineering, 2025, v. 13236, 132360F-
dcterms.isPartOfProceedings of SPIE : the International Society for Optical Engineering-
dcterms.issued2025-
dc.identifier.scopus2-s2.0-85215784023-
dc.identifier.eissn1996-756X-
dc.identifier.artn132360F-
dc.description.validate202508 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Othersen_US
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryVoR alloweden_US
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