IMAGINE-B5G

NEURONET (iNtelligent Energy Usage awaRe platfOrm sustaiNable grEen neTworking) project aims to deploy and exploit an intelligent energy usage-aware platform that will contribute to sustainable and green networking using different AI techniques. NEURONET focuses on developing Machine Learning (ML)-based models and pipelines designed to estimate the power consumption of a complete 5G network, including the Radio Access Network (RAN), the network Core, and vertical applications deployed in the datacentre. By integrating energy aware ML-based pipelines into an ETSI-compliant orchestrator, we aim to address the critical sustainability requirements of modern network infrastructures. This approach enhances resource allocation efficiency and promotes environmentally sustainable
network operations by reducing the carbon footprint associated with service provisioning.