ORIGAMI
Interoperable Machine Learning Models Improving RAN Energy Efficiency
This use case will leverage the Global Service-based Architecture for AI models and services lifecycle management enabling faster and more reliable Network Intelligence to manage 6G network operations effectively.
- It offers highly accurate and optimized ML models and network NI solutions for energy saving.
- It will strategically leverage the conflict resolution mechanisms, KPMs and data exposed by the GSBA to provide in real-time energy management policies.
Type of experiment:
Demonstration
Functionality:
Artificial Intelligence
Location(s):
UK
Vertical sector(s):
Not Specified
ORIGAMI
Duration:
GA Number:
101139270
SNS JU Call (Stream):
Call 1
Stream B