
Artificial intelligence (AI) and machine learning (ML) techniques are becoming essential to automate the control and management of complex systems, such as 5G and future networks and services, through the collection and timely processing of a large amount of control data from the system. The standardization activities of AI/ML integrated network architectures and frameworks have recently been progressing in various standards developing organizations (SDOs). This article provides a detailed survey of the AI/ML network standardization activities of the International Telecommunication Union. An overview of the related activities of other SDOs, such as the European Telecommunications Standards Institute and the 3rd Generation Partnership Project, is also provided. Finally, a set of related open issues that deserve further research and standardization are discussed.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 14 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
