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1 Motivation
The objective of this question is to study the requirements, architecture and use of emerging technologies including artificial intelligence (AI)/machine learning (ML) to realize IMT-2030 networks and networks beyond IMT-2020, in order to address the anticipated needs of network, applications and services in the upcoming years.
Network requirements and architecture for IMT-2020 networks have been baselined and successful deployments have been reported since the early 2010s. Considering that the next generation of IMT networks (the IMT-2030 networks, following the IMT-2020 networks) is expected to be deployed around 2030, it is important to initiate the study and standardization of the requirements and architecture of IMT-2030 networks, while continuing as necessary and appropriate the studies on network requirements and architecture for networks beyond IMT2020. To meet the requirements, including those of emerging service scenarios, and derive necessary architecture enhancements, consideration should be given to key aspects of IMT-2030 networks and networks beyond IMT-2020.
The study should address the integration of emerging network capabilities in IMT-2030 networks and networks beyond IMT-2020, in particular how to take benefit of capabilities enabled by emerging technologies such as AI/ML, coordination of networking and computing (CNC), autonomous networking, semantic-aware networking, digital twin and integrated sensing and communication. Also, the energy efficiency perspective of the network architecture needs consideration.
The further integration of AI/ML capabilities is in particular regarded as one of the key architectural aspects to consider for IMT-2030 networks and networks beyond IMT-2020. A comprehensive study of the impact, KPIs and evaluation of AI/ML, including generative AI network capabilities, is a must for the design of network architecture. The study should also include test methodologies and deployment guidelines for AI/ML capabilities in the networks.
Consideration should be also given to the utilization of open-source software activities, and the utilization and guidance for industry implementations and proof of concepts (PoCs) related to IMT 2030 networks and networks beyond IMT-2020, and AI/ML.
The following major Recommendations, in force at the time of approval of this Question, fall under its responsibility:
? Y.3061, Y.3100, Y.3101, Y.3102, Y.3104, Y.3119, Y.3123, Y.3127, Y.3128, Y.3142, Y.3172, Y.3173, Y.3174, Y.3176, Y.3177, Y.3179, Y.3181, Y.3182, Y.3183, Y.3186, Y.3187, Y.3400, Y.3401, Y.3144
2 Study items
Study items to be considered include, but are not limited to:
? What are the key requirements and capabilities of IMT-2030 networks and networks beyond IMT-2020 including AI/ML based on the emerging service scenarios?
? What framework and architecture are required to realize IMT-2030 networks and networks beyond IMT-2020 including AI/ML based on the identified requirements and capabilities?
? What key technologies related to IMT-2030 networks and networks beyond IMT-2020 including AI/ML are required to realize the networks?
? How to incorporate network intelligence from AI/ML into IMT-2030 networks and networks beyond IMT-2020?
? How to enable AI/ML support to the integration of other technologies into IMT-2030 networks and networks beyond IMT-2020?
? How to integrate emerging capabilities in IMT-2030 networks and networks beyond IMT-2020 and particularly how to take benefit of capabilities enabled by emerging technologies?
? How to build and/or guide the ecosystem on IMT-2030 networks and networks beyond IMT-2020 including AI/ML taking into account business models and use cases?
? How to utilize open-source software activities, as well as utilize and provide guidance for industry implementations and PoCs related to IMT-2030 networks and networks beyond IMT-2020, and AI/ML to meet the requirements of the networks?
3 Tasks
Tasks include, but are not limited to:
? Development of Recommendations on the requirements and capabilities for IMT-2030 networks and networks beyond IMT-2020 including AI/ML based on the emerging service scenarios.
? Development of Recommendations on the framework and architecture design of IMT-2030 networks and networks beyond IMT-2020 including AI/ML, based on, among others, the requirements, capabilities and gap analysis identified by network relevant focus groups including the Focus Group on Autonomous Networks.
? Development of Recommendations and other relevant documents on overall requirements and functional architecture of IMT-2030 networks and networks beyond IMT-2020 including AI/ML.
? Development of Recommendations on the interworking of IMT-2030 networks and networks beyond IMT-2020 with current networks including IMT-2020 networks.
? Study of potential utilization of open-source software activities, as well as potential utilization and guidance for industry implementations and PoCs in IMT-2030 networks and networks beyond IMT-2020 and AI/ML.
? Development of Recommendations on ecosystem aspects, taking into account business models and use cases.
An up-to-date status of work under this Question is contained in the SG13 work programme: https://www.itu.int/ITU-T/workprog/wp_search.aspx?sp=18&q=20/13.
4 Relationships
Recommendations:
- Y-series Recommendations in SG13
- Q-series Recommendations in SG11
Questions:
- All ITU-T SG13 related Questions, including Q6/13, Q16/13, Q21/13, Q22/13, Q23/13
Study groups:
? ITU-T study groups involved with studies on IMT-2030 networks and networks beyond IMT-2020
? ITU-T SG5
Other bodies:
? ITU Radiocommunication Sector (ITU-R)
? The 3rd Generation Partnership Project (3GPP)
? Next Generation Mobile Networks Alliance (NGMN)
- Internet Engineering Taks Force (IETF)
? International Organization for Standardization (ISO)/International Electrotechnical Commission (IEC) Joint Technical Committee (JTC) 1/Subcommittee (SC) 42
? Asia-Pacific Telecommunity Standardization Program (ASTAP), Alliance for Telecommunications Industry Solutions (ATIS), European Telecommunications Standards Institute (ETSI)
? Open-source organizations
WSIS Action Lines:
? C2
Sustainable Development Goals:
? 9
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