Reinforcement-learning fine-tuning of a compact LLM actor inside an O-RAN controller outperforms heuristics, a convex-optimization baseline, and much larger cloud LLMs in simulated IAB power allocation.
Un- derstanding O-RAN: Architecture, interfaces, algorithms, security, and research challenges
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.NI 1years
2026 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
EvoRIC: Reinforcement Learning Fine-Tuned LLM-empowered RAN Intelligent Control Toward Autonomous O-RAN
Reinforcement-learning fine-tuning of a compact LLM actor inside an O-RAN controller outperforms heuristics, a convex-optimization baseline, and much larger cloud LLMs in simulated IAB power allocation.