most citedREAL: Reinforcement Learning-Enabled xApps for Experimental Closed-Loop Optimization in O-RAN with OSC RIC and srsRAN

11 citations · 11 across the 8 of their papers we have counts for

collaborators

9 papers

cs.NI2026

AI-Native Open RAN: A Roadmap from xApps and rApps to Autonomous Network Agents

Ryan Barker, Alireza Ebrahimi Dorcheh, Tolunay Seyfi +6

Open Radio Access Networks (O-RAN) have emerged as a transformative paradigm for future wireless systems by introducing openness, virtualization, disaggregation, and programmable i…

cs.NI2026

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…

cs.NI2026

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…

cs.NI2026

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…

cs.NI2026

AtlasRAN: Timing-Aware Evaluation of Open-source 5G Platforms for Integrated Wireless Testbeds

Ryan Barker, Tolunay Seyfi, Alireza Ebrahimi Dorcheh +3

Open-source fifth-generation (5G) and Open Radio Access Network (O-RAN) experiments span simulation, host operating system (host-OS) emulation, software-defined radio hardware-in-t…

cs.DC2026

Six Times to Spare: Characterizing GPU-Accelerated 5G LDPC Decoding for Edge-RSU Communications

Ryan Barker, Julia Boone, Tolunay Seyfi +3

Ultra-reliable low-latency vehicular communications (URLLC) require sufficient physical-layer (PHY) compute headroom at the network edge, where roadside units (RSUs) and compact ne…

cs.CR2025

Securing Open RAN: A Survey of Cryptographic Challenges and Emerging Solutions for 5G

Ryan Barker, Fatemeh Afghah

The advent of Open Radio Access Networks (O-RAN) introduces modularity and flexibility into 5G deployments but also surfaces novel security challenges across disaggregated interfac…

cs.NI2025

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…

cs.NI2025★ 11 cited

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…