5 papers · 1 filter
Hierarchical Cooperative MARL for Joint Downlink PRB and Power Allocation in a 5G System
Alireza Ebrahimi Dorcheh, Tolunay Seyfi, Ryan Barker +1
Efficient downlink radio resource management in 5G requires jointly optimizing user scheduling and transmit-power allocation under time-varying wireless conditions. This is challen…
MORPH: Multi-Environment Orchestrated Reinforcement Learning for PRB Handling in O-RAN
Alireza Ebrahimi Dorcheh, Tolunay Seyfi, Ryan Barker +1
Reinforcement-learning (RL) solutions for dynamic spectrum access and radio resource management in Open Radio Access Networks (O-RAN) depend critically on the fidelity of the throu…
AIIM: Adaptive Inter-cell Interference Mitigation for Heterogeneous Multi-vendor 5G O-RAN Networks
Samuel Reinders, Alireza Ebrahimi Dorcheh, Ryan Barker +2
Inter-cell interference is a persistent issue in dense 5G deployments, especially in heterogeneous Open Radio Access Network (O-RAN) environments where coordination between base st…
Virtualizing RAN: Science, Strategy, and Architecture of Software-Defined Mobile Networks
Ryan Barker
Virtualizing the Radio-Access Network (RAN) is increasingly viewed as an enabler of affordable 5G expansion and a stepping-stone toward AI-native 6G. Most discussions, however, sti…
REAL: Reinforcement Learning-Enabled xApps for Experimental Closed-Loop Optimization in O-RAN with OSC RIC and srsRAN
Ryan Barker, Alireza Ebrahimi Dorcheh, Tolunay Seyfi +1
Open Radio Access Network (O-RAN) offers an open, programmable architecture for next-generation wireless networks, enabling advanced control through AI-based applications on the ne…