5 papers
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…
DORA: Dynamic O-RAN Resource Allocation for Multi-Slice 5G Networks
Alireza Ebrahimi Dorcheh, Tolunay Seyfi, Fatemeh Afghah
The fifth generation (5G) of wireless networks must simultaneously support heterogeneous service categories, including Ultra-Reliable Low-Latency Communications (URLLC), enhanced M…
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…