The objective of this research report is to identify network Energy Efficiency (EE) requirements for different network functions, especially in the O-RAN architecture. Network EE requirements both in computation and in communication are evaluated. The report discusses advanced design methodologies for EE, including the adaptation of energy-aware protocols and system architectures. It introduces strategies to enhance network EE KPIs, focusing on innovative energy-saving mechanisms and efficient use of resources. It also emphasizes on the necessity of establishing energy-aware design fundamentals and integrating energy-efficient technologies across the network. Furthermore, it elaborates on the critical role of energy-efficient cloud data centers for 6G and subsequent generations, highlighting their influence on the network's overall energy consumption and the importance of employing current and new potential energy-efficient strategies. Additionally, the construction strategies for an energy-efficient AI/ML platform emphasize the integration of sustainable design methodologies and the optimization of energy usage from infrastructure to application services. This research report further suggests ways to reduce energy consumption and promote green communication in networks for 6G and beyond.
