3 papers
cs.NI2025
PPO-EPO: Energy and Performance Optimization for O-RAN Using Reinforcement Learning
Rawlings Ntassah, Gian Michele Dell'Aera, Fabrizio Granelli
Energy consumption in mobile communication networks has become a significant challenge due to its direct impact on Capital Expenditure (CAPEX) and Operational Expenditure (OPEX). T…
cs.NI2025
Interference-Aware PMI selection for MIMO systems in an O-RAN scenario
Rawlings Ntassah, Gian Michele Dell'Aera, Fabrizio Granelli
The optimization of Precoding Matrix Indicators (PMIs) is crucial for enhancing the performance of 5G networks, particularly in dense deployments where inter-cell interference is a…
cs.NI2025
A measurement-based approach to analyze the power consumption of the softwarized 5G core
Arturo Bellin, Fabrizio Granelli, Daniele Munaretto
In light of the ever growing energy needs of the ICT sector, a value that is becoming increasingly important for a mobile network is its power consumption. However, the transition…