6G-XR

ENORMOUS

ENORMOUS aims to improve energy efficiency (EE) in 5G/6G networks, aligning with Sustainable Development Goals and the IMT-2030 framework. It studies energy consumption, implements AI/ML-based optimisations, and develops real-time monitoring tools. Collaborating with the 6G-XR initiative, the project integrates these tools into existing networks, particularly within the Open5GS core network. ENORMOUS will validate its innovations in cutting-edge 5G testbeds, contributing valuable insights for operators, academia, and standardisation bodies towards more efficient and resilient mobile networks. The main goal of this Use Case is to capture the metrics of the network consumption of the different elements of the network and forecast the power consumption according to different KPIs such as used modulation, assigned PRBs and RSRP of the UE or the history of data energy consumption of the other elements.

Type of experiment:
Simulation/Emulation

Functionality:
Cloud-Native Architecture

Location(s):
Finland

Vertical sector(s):
Smart Energy

Project Open Call 3rd-party funding

6G-XR


Duration:

GA Number: 101096838

SNS JU Call (Stream):
Call 1
Stream C