基于人工智能方法的流量类型化IMT-2020管理 |
目前,IMT-2020网络的标准化旨在处理架构问题(基础设施和新业务),分析和确保管理层的信令,并确保物联网业务的质量和安全。众所周知,根据ITU-R M.2083-0建议书“IMT愿景 – 2020年及之后IMT未来发展的框架和总体目标”,IMT-2020基础设施技术之一是软件定义的网络(SDN)。鉴于流量的异构性,有必要确保高效和有效的基础设施管理。为了提高管理自动化的有效性,需要考虑使用人工智能(AI)技术进行流量检测和分类。以这种方式,ITU-T Y.3116建议书概述了用于流量检测的机器学习(ML)技术,以及用于基于ML方法的IMT-2020管理的流量分类和识别方法。 |
|
Citation: |
https://handle.itu.int/11.1002/1000/14855 |
Series title: |
Y series: Global information infrastructure, Internet protocol aspects, next-generation networks, Internet of Things and smart cities Y.3000-Y.3499: Future networks |
Approval date: |
2022-02-13 |
Provisional name: | Y.IMT2020-mAI |
Approval process: | AAP |
Status: |
In force |
Maintenance responsibility: |
ITU-T Study Group 13 |
Further details: |
Patent statement(s)
Development history
|
|
|
Ed. |
ITU-T Recommendation |
Status |
Summary |
Table of Contents |
Download |
1
|
Y.3116 (02/2022)
|
In force
|
here
|
here
|
here
|
Title |
Approved on |
Download |
Transport network support of IMT-2020/5G (October 2018)
|
2018
|
here
|
ITU-T Focus Group IMT-2020 Deliverables
|
2017
|
here
|
Multiple radio access technologies
|
2012
|
here
|
Future networks
|
2012
|
here
|
|