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1 Motivation
This Question has developed several protocols for control and management technologies such as orchestration, microservice architecture, network slicing, network capability exposure, time sensitive network, data integrity verification and intelligent network analysis to realize IMT-2020 networks.
Artificial intelligence (AI) application in network for enabling network automation and intelligence are important topics these days. How AI and big data technologies are leveraged to support intelligent control and management for IMT-2020 and IMT-2030 networks should be specified and provided urgently to meet the market requirements. Especially, protocols to support intelligent control for IMT-2020 and IMT-2030 networks, enhanced mechanisms such as low latency, low jitter and packet loss, guaranteed bandwidth, very large-scale network, flexible connectivity and topology, resources assignment and sharing, and network slicing should be developed with high priority. With specific requirements from vertical industries, user plane management should be enhanced to optimize the user path and meet industry needs.
Also, protocols on common management system for accommodating both fixed and mobile networks are other important issues that have to be resolved in the future.
2 Question
Study items to be considered include, but are not limited to:
- What protocols and mechanisms need to be defined in response to gap analyses developed by relevant SDOs?
- What protocols and mechanisms need to be defined in support of service scenarios, requirements, capabilities, and architecture for IMT-2020 and IMT-2030 networks provided by relevant ITU-T SGs and other SDOs?
- What protocols and mechanisms need to be defined for the key technologies to realize IMT-2020 and IMT-2030 networks including intelligent control for network slicing, network capability exposure, fixed/mobile and satellite convergence, network management of heterogeneous network environments, energy efficiency management, network knowledge management, distributed core network, distributed orchestration, autonomous network, coordination of computing and networking etc.?
- How emerging technologies including AI, large language model (LLM), big data, digital twin, distributed ledger technology (DLT) and quantum key distribution network (QKDN) and related technologies are leveraged in the control and management protocols for IMT-2020 and IMT-2030 networks?
- What protocols and mechanisms should be defined to support integrated sensing and communication for IMT-2020 and IMT-2030 networks?
- What protocols and mechanisms should be defined to realize high performance and deterministic SLA with features like ultra-low latency and high reliability for IMT-2020 and IMT-2030 networks?
- What protocols and mechanisms should be defined to realize improvements and enhancements to service-based interface for IMT-2020 and IMT-2030 networks in order to improve efficiency, flexibility and intelligence?
- How to utilize and guide the open-source software, in collaboration with relevant bodies, related to key technologies of IMT-2020 and IMT-2030 networks to implement the developed Recommendations?
3 Tasks
Tasks include, but are not limited to:
- develop Recommendations on protocols, including mechanisms, to control IMT-2020 and IMT-2030 networks with enhanced features, supporting very large-scale network, flexible connectivity and topology, fixed/mobile and satellite convergence, user plane optimization, green energy efficiency, etc.;
- develop Recommendations on protocols, including mechanisms, to support IMT-2020 and IMT-2030 networks by using technologies such as network slicing, resource virtualization, orchestration, distributed core network, distributed orchestration, autonomous network, coordination of computing and networking and related technologies, etc.;
- develop Recommendations on protocols, including mechanisms, to support IMT-2020 and IMT-2030 networks by using technologies such as, big data, QKDN, digital twin, DLT, AI including LLM and knowledge graph, etc.;
- develop Recommendations on protocols, including mechanisms, to support integrated sensing and communication for IMT-2020 and IMT-2030 networks;
- develop Recommendations on protocols, including mechanisms, for other key technologies of IMT-2020 and IMT-2030 networks including identification, device authentication, and network capability exposure, etc.;
- develop Recommendations on protocols, including mechanisms, for common management system for IMT-2020 and IMT-2030 networks;
- develop Recommendations on protocols, including mechanisms, for IMT-2020 and IMT-2030 networks to realize high performance and deterministic SLA with features like ultra-low latency and high reliability;
- develop Recommendations on protocols for IMT-2020 and IMT-2030 networks, to realize improvements and enhancements to service-based interface in order to improve efficiency, flexibility and intelligence;
- develop Supplements, Technical Reports and guidelines on the best practices and implementations of protocols and mechanisms for IMT-2020 and IMT-2030 networks, including open-source software, in collaboration with relevant bodies.
An up-to-date status of work under this Question is contained in the SG11 work programme (https://www.itu.int/ITU-T/workprog/wp_search.aspx?sp=18&q=6/11).
4 Relationships
Recommendations:
- Y-series and Q-series
Questions:
- All Questions of ITU-T SG11
Study Groups:
- ITU-T Study Group 2
- ITU-T Study Group 13
- ITU-T Study Group 15
- Other SGs involved with IMT-2020 studies
Other bodies:
- ITU-R
- ETSI
- IETF
- IEEE
- 3GPP
WSIS action lines:
- C2, C5
Sustainable Development Goals:
- 9, 17
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