| 包括IMT-2020在内的未来网络基于AI/ML的网络设计优化要求和框架 |
由于IMT-2020网络的发展,出现了大量新的应用和服务,导致网络流量爆炸式增长,网络更加复杂,网络设计优化难度增加。许多业务正在迅速变化,网络运营商需要根据流量分布和流量增量趋势动态设计和调整其网络,以保证必要的服务质量(QoS)。人工智能(AI)可用于预测和决策,可以使网络设计更加智能和自动化。ITU-T Y.3142建议书侧重于使用人工智能(AI)/机器学习(ML)技术改进网络设计机制。本建议书描述了如何整合AI/ML,以优化网络容量、网络拓扑和路由的设计,从而以经济高效的方式满足服务水平协议(SLA)的所有需求,而非只保证SLA,而不考虑总成本。 |
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| Citation: |
https://handle.itu.int/11.1002/1000/15869 |
| 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: |
2024-04-29 |
| Provisional name: | Y.IMT2020-AINDO-req-frame |
| Approval process: | AAP |
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Status: |
In force |
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Maintenance responsibility: |
ITU-T Study Group 13 |
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Further details: |
Patent statement(s)
Development history
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| Title |
Approved on |
Download |
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Transport network support of IMT-2020/5G (October 2018)
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2018
|
here
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ITU-T Focus Group IMT-2020 Deliverables
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2017
|
here
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Multiple radio access technologies
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2012
|
here
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Future networks
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2012
|
here
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|