Taming the Agentic RAN: Stability-Guaranteed Arbitration of Autonomous AI Agents in O-RAN

arXiv:2609.18857 · cs.NI, cs.AI, cs.SY, eess.SY · Submitted 2026-09-16 · Read on arXiv

cs.NI, cs.AI, cs.SY, eess.SY

Submitted: 2026-09-16

Updated: 2026-09-16

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Core — 10× in this paper · explained in 2 episodes
• AI Agents — 6× in this paper · explained in 2 episodes
• Action Space — 2× in this paper · explained in 1 episode
• Allocator — 2× in this paper · explained in 1 episode
• Energy Efficiency — 2× in this paper · explained in 3 episodes
• Steering — 2× in this paper · explained in 2 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Phase Transitions — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach
• Near-Real-Time Resource Slicing for QoS Optimization in 5G O-RAN using Deep Reinforcement Learning

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