ITU-T SG13 Non Radio Hot Topics and Recommendations related to IMT 2020/5G

IMT 2020 Related Hot Topics for ITU-T SG13:

[As per the SG13  4-14 March 2019 meeting in Victoria Falls, Zimbabwe]

1.    Intelligence for network automation, augmentation and amplification [TSAG TD160]

  • Identify the standardization needs for intelligence in 5G systems and the telecommunications sector.
  • Automatic detection and resolution of anomalies and other incidents of inefficiency, as well as predictive maintenance will reduce the operational expenditure of network operators and service providers
  • Address the architecture, interfaces, functional entities, service scenarios and protocols required for intelligence retrieval and actuation, and the performance bench marking and certification of AI techniques

Related Work items:

Y.sfes: Smart Farming Education Service based on u-learning environment

Y.qos-ml-arc: Architecture of machine learning based QoS assurance for IMT-2020 network

Y.MecTA-ML: Mechanism of traffic awareness for application-descriptor-agnostic traffic based on machine learning

Y.MLaaS-reqts: Cloud computing – Functional requirements for machine learning as a service

Y.IMT2020-ML-arch: Architectural framework for machine learning in future networks including IMT-2020

2.  Realizing 5G/ IMT-2020 vision [TSAG TD101, TSAG TD160, TSAG C27-R2, TSAG C29]

  • Unified access-independent network management
  • Standardization roadmap on IMT-2020
  • ICN (Information Centric Networks) with scalability, mobility and security
  • Open-source software and standards for 5G
  • Software-based networking functions to optimize a per-session based performance
  • Emerging fronthaul and midhaul technologies to support the 5G deployment
  • Large-bandwidth backhaul and fronthaul solutions
  • Concrete strategies for the migration from 4G to 5G systems.
  • End-to-end network orchestration, control and management
  • Service-based network architecture
  • Open service management APIs for the Internet of Things
  • Electromagnetic field (EMF) studies around 5G beam-forming capabilities
  • Interoperability of services supporting public safety.

Related Work items:

Y.NGNe-O-arch: Functional architecture of orchestration in NGNe

Y.IMT2020-qos-fa: QoS functional architecture for IMT-2020 networks

Y.IMT2020-qos-req; QoS requirements for IMT-2020 network

Y.qos-ml-arch: Architecture of machine learning based QoS assurance for IMT-2020 network

Y.IMT2020.qos-mon: IMT-2020 network QoS monitoring architectural framework

Y.IMT2020-CEF: Network capability exposure function in IMT-2020 networks

Y.3MO: Requirements and Architectural Framework of Multi-layer, Multi-Domain, Multi-Technology Orchestration

Y.IMT2020-ADPP: Advanced Data Plane Programmability for IMT-2020 (renamed- see below)

Y.NetSoft-SSSDN: High level architectural model of network slice support for IMT-2020 – Part: SDN (renamed- see below)

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IMT 2020 non radio recommendations developed by ITU-T SG13:

Y.3112: Framework for the support of network slicing in the IMT-2020 network (Revised)

Draft  Recommendation ITU-T Y.IMT2020-NSAA-reqts: “Requirements for network slicing with AI-assisted analysis in IMT-2020 networks”

Draft Recommendation ITU-T Y.IMT2020-CEF: “Network capability exposure function in the IMT-2020 networks”

Draft Recommendation ITU-T Y.qos-ec-vr-req: ” QoS requirements and architecture for virtual reality delivery using edge computing in IMT-2020″ 

Draft Recommendation ITU-T Y.3072 (formerly Y.ICN-ReqN): “Requirements and Capabilities of Name Mapping and Resolution for Information Centric Networking in IMT-2020” 

Draft Recommendation ITU-T Y.3151 (formerly Y.NetSoft-SSSDN): “High level architectural model of network slice support for IMT-2020 – part: SDN”

Draft Recommendation ITU-T Y.3152(formerly Y.IMT2020-ADPP): “Advanced Data Plane Programmability for IMT-2020”

Draft Recommendation ITU-T Y.3172 (formerly Y.IMT2020-ML-Arch): “Architectural framework for machine learning in future networks including IMT-2020

Draft Recommendation ITU-T Y.3106 (formerly Y.IMT2020-qos-req): “QoS functional requirements for the IMT-2020 network”

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ITU-T SG13/WP1 work related to IMT-2020:

Question (Co-) Rapporteur

(Associate Rapporteur)

Title
Q6/13 Taesang CHOI (Korea) Quality of service (QoS) aspects including IMT-2020 networks
Guosheng ZHU (China)
Q20/13 Nam Seok KO (Korea) IMT-2020: Network requirements and functional architecture
Marco CARUGI (Huawei, China)
Q21/13 Kazunori TANIKAWA (Japan)

Yushuang HU (China)

Network softwarization including software-defined networking, network slicing and orchestration
Sangwoo KANG (Korea)
Q22/13 Jiguang CAO (China)

Ved P. KAFLE (Japan)

Upcoming network technologies for IMT-2020 and Future Networks
Q23/13 Jeong Yun KIM (Korea)

Nauxiang Shi (China)

Fixed-Mobile Convergence including IMT-2020

 

Question 21 of ITU-T SG13 is studying network softwarization including: network slicing, SDN, and orchestration which are highly expected to contribute to IMT-2020.  Question 21 met during the SG13 meeting, from 4 to 14 March 2019 at Victoria Falls, Zimbabwe under the chairmanship of co-Rapporteur Ms.Yushuang Hu (China Mobile, China) and Mr. Kazunori TANIKAWA (NEC, Japan).

On March 14, 2019, ITU-T SG13 has consented to two new Recommendations:

  1. ITU-T Y.IMT2020-ML-Arch “Architectural framework for machine learning in future networks including IMT-2020” (Ref. SG13-TD355/WP1)
  2. ITU-T Y.3115 (formerly Y.NetSoft-SSSDN). It describes SDN control interfaces for network slicing, which especially focuses on the control of front haul networks such as PON.

 

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I believe the following ITU-T Technical Report was developed by ITU-T SG15:

Technical Report (GSTR-TN5G) on “Transport network support of IMT-2020/5G”

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Previous Techblog post on this topic:

New ITU-T Standards for IMT 2020 (5G) + 3GPP Core Network Systems Architecture

 

 

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