2026
Data-Driven Lagrangian Optimization for O-RAN Efficiency
This letter presents a data-driven solution based on an energy-saving rApp that uses unsupervised learning to optimize cell switch-on/off decisions, enhancing the energy efficiency of Open Radio Access Network (O-RAN) networks while guaranteeing Quality of Service (QoS) in terms of outage probability. The proposed rApp...
I. M. Braga, Adriely L. Brandelli, Francisco Hugo Costa et al.
· IEEE Wireless Communications... · 0 citations