| Work group:
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Q7/11 (Presentation Web page is available here)
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| Title:
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Signalling requirements and protocols for network attachment and edge computing for future networks, IMT-2020 networks and beyond
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| Description:
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1 Motivation
ITU T SG11 has conducted studies on signalling requirements and protocols for future networks. Edge computing which is required for artificial intelligence (AI), big data, autonomous drive and robots are hot topics since IMT-2020 networks has been firstly commercialized in these days.
The future networks and the IMT-2020 networks will involve a wide range of services (e.g., multimedia, sensing, AI, big data, mobility, robots, etc.) including convergence aspects, based on its high computing power and capability in edge networks for heterogeneous networks (e.g., IMT 2020, LTE, WLAN, BLE, LPWA, etc.) and multiple devices (e.g., smart phone, tablet, laptop, sensors, closed-circuit television etc.) and cloud computing environment (e.g., edge cloud, public cloud etc.) of different capabilities in dynamic combination for collaboration. This is the so called "edge computing", and signalling protocols are expected to bridge the source and the device to realize it. Those will involve federated authentication and configuration for dynamic media handover, per-session allocation of IP addresses and terminal configuration, network access authorization checking, in-session modification of service connectivity, attachment control, resource allocation for edge computing.
In addition, IMT-2020 networks increase the data packet traffic speed by up to ten times than IMT-advanced, whereas edge computing reduces transaction latency by locating computing capability in IMT-2020 networks, closer to the end mobile users. In this perspective, cloud-based computing capability is also important to provide ultra-low latency-based data transaction for low latency and high throughput required services (e.g., VR/AR, streaming media, Industrial 4.0, robots, IoT etc.). These procedures will have to be designed to take into account various emerging services such as AR/VR, streaming, gaming, AI, big data, autonomous driving, robots, agriculture, energy, education, urban air mobility, digital twin etc.
Maximizing service versatility and device capability also requires the maximization of resource utilization and awareness-based control. Accordingly, the core aspects of future networks, such as virtualization and software-defined networking (SDN), including multicontroller SDN network architectures, intelligent edge computing (IEC), multi-access edge computing (MEC), Cloud Services for access network must be considered.
2 Question
Study items to be considered include, but are not limited to:
- What new and revised Recommendations are required to handle the revisions of NACF signalling protocol requirements?
- What new Recommendations are required to specify signalling requirements and protocols to support attachment and edge computing services (AI, big data, mobility, edge cloud, etc.) for multi-device/interface/connection services?
- What associated mechanisms are required with attachment and edge computing signalling to assure security for multi-device/interface/connection services?
- What control mechanisms are required with attachment and edge computing signalling to support the mobility management and virtual resource management?
- What functional architecture and entities are required for network attachment and edge computing to support future networks and IMT-2020 networks, including SDN, NFV, IEC and MEC in access network?
- What functional architecture and entities are required to support multi-interface streaming services focusing on its access attachment signalling and protocols?
3 Tasks
Tasks include, but are not limited to:
- maintain existing Recommendations which are under study in this Question;
- develop signalling requirements and protocols to support revisions of network attachment and edge computing protocol requirements;
- develop signalling requirements and protocols to support attachment and edge computing procedures for various emerging services (such as AR/VR, streaming, gaming, AI, big data, autonomous driving, robots, agriculture, energy, education, urban air mobility, digital twin etc.) for multi-devices, multi-connections, and multi-interfaces for future networks (e.g., SDN, NFV) and IMT-2020 networks;
- develop signalling requirements and protocols to support mobility and resource management functions in both access and core networks;
- develop signalling requirements and protocols to support diverse and efficient traffic classification and steering schemes based on MEC-enabled devices (e.g., SDK, IEC, MEC enabled layer etc.), core network (e.g., network slicing, APN etc.) and edged equipment management (e.g., edge cloud computing etc.) for low latency-guaranteed IMT-2020 networks;
- develop signalling requirements and protocols to support mobility management and service/application migration over edge computing and edge cloud enabled environment including computation allocation, mobility-aware resource allocation and fault tolerance support for nearest edge traffic routing in future networks, IMT-2020 networks.
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=7/11).
4 Relationships
Recommendations:
- Y-series Recommendations on requirements and architecture of future networks and IMT 2020 network and beyond
- Q-series Recommendations on signalling requirements, protocols, measurement and testing
Questions:
- All Questions of ITU-T SG11
Study Groups:
- SG13 on requirement and architecture, mobility management and virtualization of resources of future networks and IMT-2020 networks and beyond
- SG17 on security and identity management
- SG20 on M2M and IoT services and protocols
- SG21 on multimedia services over multi-device/interface/connection environments
Other bodies:
- ISO/IEC JTC1/WG7
- IETF
- OMA
- ETSI
WSIS action lines:
- C2
Sustainable Development Goals:
- 9
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| Comment:
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Continuation of Q7/11
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Rapporteur:
| Mr. | Kwihoon | KIM |
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Associate rapporteur:
| Mr. | Jongmin | LEE |
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