Energy-Efficient Resource Management via Hierarchical Reinforcement Learning in O-RAN

Sixth-generation (6G) wireless networks are expected to meet all the demands of the next decade, a feasibility that is onlypossible with advances in network design and management. This paper first proposes a unified resource management framework for a 6G-based network architecture that includes an Open Radio Access Network (O-RAN) deployment and then defines a hierarchical network energy control and resource management approach. Leveraging the openness of O-RAN, the proposed novel Hierarchical R