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SG13 - Study Group Structure
(Study Period 2017-2020)

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ACRONYM TITLE
WP1/13 IMT-2020 and Beyond: Networks & Systems
Q6/13 Networks beyond IMT-2020: Quality of service (QoS) mechanisms
Continuation of Q6/13
Q20/13 Networks beyond IMT-2020 and Machine Learning: Requirements and Architecture
Continuation of Q20/13
Q21/13 Networks beyond IMT-2020: Network softwarization
Continuation of Q21/13
Q22/13 Networks beyond IMT-2020: Emerging network technologies
Continuation of Q22/13
Q23/13 Networks beyond IMT-2020: Fixed, mobile and satellite convergence
Continuation of Q23/13
WP2/13 Cloud Computing & Data Handling
Q7/13 Future Networks: Deep Packet inspection and network intelligence
Continuation of Q7/13
Q17/13 Future Networks: Requirements and capabilities for computing including cloud computing and data handling
Continuation of Q17/13
Q18/13 Future Networks: Functional architecture for computing including cloud computing and data handling
Continuation of Q18/13
Q19/13 Future Networks: End-to-end management, governance, and security for computing including cloud computing and data handling
Continuation of Q19/13
WP3/13 Network Evolution, Trust and Quantum Enhanced Networking
Q1/13 Future Networks: Innovative service scenarios, including environmental and socio economical aspects
Continuation of Q1/13
Q2/13 Next-generation Network (NGN) evolution with innovative technologies including software-defined networking (SDN) and network function virtualization (NFV)
Continuation of Q2/13
Q5/13 Applying Future Networks and Innovation in Developing Countries
Continuation of Q5/13
Q16/13 Future Networks: Trustworthy and Quantum Enhanced Networking and Services
Continuation of Q16/13
Regional groups
SG13RG-AFR ITU-T SG13 Regional Group for Africa
SG13RG-EECAT ITU-T SG13 Regional Group for EECAT (SG13 RG-EECAT)
FG-AINN Focus Group on Artificial Intelligence Native for Telecommunication Networks (FG-AINN)
Focus Groups
Other groups under SG13
JCA-IMT2020 Joint Coordination Activity on IMT-2020 and Beyond
JCA-ML Joint Coordination Activity on Machine Learning (JCA-ML)
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