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Intelligent Maintenance Planning for Enhanced SKR Availability in Deployed Long-distance QKD Systems
Chalmers Univ Technol, Sweden.
Linköping University, Department of Electrical Engineering, Information Coding. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-8734-2833
Linköping University, Department of Electrical Engineering, Information Coding. Linköping University, Faculty of Science & Engineering.
Chalmers Univ Technol, Sweden.
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2025 (English)In: 2025 EUROPEAN CONFERENCE ON OPTICAL COMMUNICATIONS, ECOC, IEEE , 2025Conference paper, Published paper (Refereed)
Abstract [en]

We demonstrate an ML-based approach to optimize photon detection performance on a 110 km QKD link. Results show that scheduling maintenance during predicted low critical traffic periods reduces blocked critical data transmissions by 64% and increases overall service reliability by 16%.

Place, publisher, year, edition, pages
IEEE , 2025.
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-221794DOI: 10.1109/ECOC66593.2025.11263028ISI: 001680185000106Scopus ID: 2-s2.0-105031390609ISBN: 9798331595326 (print)ISBN: 9798331595319 (electronic)OAI: oai:DiVA.org:liu-221794DiVA, id: diva2:2045696
Conference
2025 European Conference on Optical Communications-ECOC, Copenhagen, DENMARK, sep 28-oct 02, 2025
Note

Funding Agencies|EU [DIGITAL-2022-QCI-02-DEPLOY-NATIONAL, 101113375 -NQCIS]; Vinnova; VR

Available from: 2026-03-13 Created: 2026-03-13 Last updated: 2026-03-13

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Argillander, JoakimClason, MartinXavier, Guilherme B
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