CLOSED-LOOP SUSTAINABILITY ORCHESTRATION FOR ENERGY-AWARE RAN, EDGE, AND DATA-CENTER WORKLOADS IN 5G-ADVANCED NETWORKS

Abstract

The rapid growth of 5G-Advanced networks is driving significant increases in energy consumption across radio access networks (RAN), edge infrastructure, and cloud data centers. This paper presents a closed-loop sustainability orchestration framework that dynamically coordinates energyaware resource management across these domains. The proposed approach continuously monitors network conditions, workload demands, renewable energy availability, and performance requirements, using intelligent analytics to optimize workload placement, traffic steering, and infrastructure utilization. By enabling real-time collaboration between RAN, edge, and data-center resources, the framework reduces overall power consumption while maintaining service quality and latency objectives. A feedback-driven control mechanism ensures adaptive decision-making under changing network conditions and user demands. Evaluation results demonstrate notable improvements in energy efficiency, carbon footprint reduction, and operational sustainability, highlighting the potential of integrated cross-domain orchestration as a key enabler of environmentally responsible and resilient 5G-Advanced network operations.