6G-XR
StreamAnalyzerFor5GSlicing
StreamAnalyzerFor5GSlicing addressed ML/AI challenges under 6G-XR-OC2-TOP4. We tackled two challenges: (i) a centralized AI-based learning load balancer respecting UE’s bandwidth requirements and (ii) a distributed reinforcement learning scheduler for optimal 5GTN RI resources’ use when Cumucore slices are congested. The open-source code developed within this project is a new asset for the 6G-XR project and overall, for SNS Stream B “System Architecture”.
Type of experiment:
Prototype
Functionality:
Network Slicing
Maturity:
Location(s):
Finland
Vertical sector(s):
StreamAnalyzerFor5GSlicing directly operates for the 5G Core thus is applicable to a wide set of verticals.
Project Open Call 3rd-party funding
6G-XR
Duration:
GA Number:
101096838
SNS JU Call (Stream):
Call 1
Stream B