most citedORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.AI2025

Task Specific Sharpness Aware O-RAN Resource Management using Multi Agent Reinforcement Learning

Fatemeh Lotfi, Hossein Rajoli, Fatemeh Afghah

Next-generation networks utilize the Open Radio Access Network (O-RAN) architecture to enable dynamic resource management, facilitated by the RAN Intelligent Controller (RIC). Whil…

cs.LG2025★ 1 cited

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing

Fatemeh Lotfi, Hossein Rajoli, Fatemeh Afghah

Advanced wireless networks must support highly dynamic and heterogeneous service demands. Open Radio Access Network (O-RAN) architecture enables this flexibility by adopting modula…

cs.LG2025

Prompt-Tuned LLM-Augmented DRL for Dynamic O-RAN Network Slicing

Fatemeh Lotfi, Hossein Rajoli, Fatemeh Afghah

Modern wireless networks must adapt to dynamic conditions while efficiently managing diverse service demands. Traditional deep reinforcement learning (DRL) struggles in these envir…