Breadcrumb
Home
AI and machine learning for network optimisation
NGMN 5G End-to-End Architecture - Overview of the architecture for 5G End-to-End deployment
Application Type:
Green/Energy Saving Use Cases
ITU-T Y.3170 - Framework for distributed artificial intelligence in the IMT-2020 network
Application Type:
Federation-based Use Case
ETSI TR 122 934 - Study on architecture enhancements for 5G System (5GS) to support advanced V2X services
Application Type:
Slice-based URLLC
GSMA TS.45 - 5G Core Network Requirements
Application Type:
Telco Cloud
GSMA TS.44 - Open API standards for 5G
Application Type:
Telco Cloud
NGMN V2X - Vehicle-to-everything communication (V2X) for 5G
Application Type:
Networked Cloud
ITU-R M.2083-0 - IMT Vision – Framework and overall objectives of the future development of IMT for 2020 and beyond
Application Type:
Federation-based Use Case
ITU-T Y.3300 - Framework of software-defined networking
Application Type:
Telco Cloud
ITU-T Y.3173 - Framework for evaluating intelligence levels of future networks including IMT-2020
Application Type:
Federation-based Use Case
ITU-T Y.3112 - Framework of network slicing in the IMT-2020 network
Application Type:
Slice-based eMBB
Pagination
Page 1
Next page
››
Subscribe to AI and machine learning for network optimisation