Semi-Static Cell Differentiation and Integration with Dynamic BBU-RRH Mapping In Open RAN Access Network

The rapid expansion of 5G networks has heightened concerns about the environmental impact of energy-intensive infrastructure. This paper introduces a novel algorithm for optimizing energy efficiency in Open RAN (Radio Access Network) deployments. Focusing on broadband units (BBUs), the algorithm dynamically assesses real-time bandwidth demands from connected mobile phones to identify opportune moments for transitioning specific BBUs to a low-power state without compromising network performance. Through an extensive series of simulations and practical implementations, our approach demonstrates substantial reductions in overall power consumption, marking a significant leap towards sustainable 5G networks. The algorithm's core innovation lies in its ability to selectively induce sleep states in BBUs based on current demand patterns, allowing for efficient resource allocation and energy conservation. We evaluate its performance across diverse scenarios, considering varying loads and demand fluctuations. Results consistently show a noteworthy decrease in power consumption, showcasing the algorithm's adaptability and effectiveness. This research addresses the critical intersection of energy efficiency and quality of service in Open RAN environments. By striking a balance between resource conservation and network performance, the proposed algorithm contributes to realizing eco-friendly 5G networks. As the telecommunications industry grapples with the challenges of reducing its carbon footprint, our work offers a pragmatic and scalable solution that aligns with the broader goals of sustainable technology development.