3 papers
cs.NI2026
EvoRIC: Reinforcement Learning Fine-Tuned LLM-empowered RAN Intelligent Control Toward Autonomous O-RAN
Lingyan Bao, Jemin Lee, Tony Q. S. Quek
Despite recent advances in applying artificial intelligence (AI) techniques to radio access network (RAN), critical challenges remain: traditional machine learning (ML) algorithms…
cs.NI2026
LLM-Based Net Analyzer rApp for Explainable and Safe Automation in O-RAN Non-RT RIC
Tuan V. Ngo, Mao V. Ngo, Binbin Chen +3
Modern 5G/6G radio access networks are increasingly programmable through O-RAN, yet their operational complexity has grown with disaggregation, open interfaces, and fine-grained co…
cs.NI2025
Adaptive AI Model Partitioning over 5G Networks
Tam Thanh Nguyen, Tuan Van Ngo, Long Thanh Le +4
Mobile devices increasingly rely on deep neural networks (DNNs) for complex inference tasks, but running entire models locally drains the device battery quickly. Offloading computa…