David López, researcher at iTEAM of UPV publishes his latest research paper on network energy efficiency in the IEEE Transactions on Machine Learning in Communications and Networking with Nicola Piovesan and Antonio De Domenico from Huawei and Merouane Debbah from KU 6G Research Center. This framework dives into the practical complexity of carrier shutdown methods in large-scale heterogeneous 4G/5G networks.
The study not only demonstrates how real data collected from networks can be leveraged to develop models and optimize this critical feature but also provides a detailed description of how carrier shutdown work in reality. This unique insight bridges the gap between theoretical models and practical applications, leading to significant energy savings. Key Highlights:
- Real-world Application: Comprehensive description of how carrier shutdown works in practice.
- In-depth Analysis: Detailed examination of the complexities involved in carrier shutdowns.
- Data-Driven Models-world Application: Utilization of real network data to create accurate energy consumption and rate models with the available data.
Link to the full paper.