Committed to connecting the world

  •  
ITU GSR 2024

ITU-T work programme

[2017-2020] : [SG13] : [Q6/13]

[Declared patent(s)]  - [Publication]

Work item: Y.QKDN-qos-ml-req
Subject/title: Requirements of machine learning based QoS assurance for quantum key distribution networks
Status: [Carried to next 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 requirements of machine learning based QoS assurance for the quantum key distribution networks (QKDN). This recommendation first provides an overview of requirements of machine learning based QoS assurance for the QKDN. It describes a functional model of machine learning based QoS assurance and followed by associated high level and functional requirements of machine learning based QoS assurance.
Comment: -
Reference(s):
  Historic references:
Contact(s):
ITU-T A.5 justification(s):
Generate A.5 drat TD
-
[Submit new A.5 justification ]
See guidelines for creating & submitting ITU-T A.5 justifications
First registration in the WP: 2020-08-04 16:32:02
Last update: 2021-12-15 10:18:24