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ITU GSR 2024

ITU-T work programme

[2022-2024] : [SG13] : [Q6/13]

[Declared patent(s)]  - [Associated work]  - [Publication]

Work item: Y.3812 (ex Y.QKDN-qos-ml-req)
Subject/title: Quantum key distribution networks - Requirements for machine learning based quality of service assurance
Status: Approved on 2022-09-29 [Issued from previous study period]
Approval process: AAP
Type of work item: Recommendation
Version: New
Equivalent number: -
Timing: -
Liaison: ETSI QKD ISG, SG12, SG17, and FG QIT4N
Supporting members: ETRI, KT corp., KAIST, and Hubei Univ.
Summary: This Recommendation specifies high-level and functional requirements of machine learning (ML) based QoS assurance for the quantum key distribution networks (QKDN). This recommendation first provides an overview of requirements of ML based QoS assurance for the QKDN. It describes a functional model of ML based QoS assurance and followed by associated high level and functional requirements of ML based QoS assurance. And some use cases are described.
Comment: -
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First registration in the WP: 2020-08-04 16:32:02
Last update: 2022-07-27 09:25:22