A three-stage GenAI framework for intent-driven RAN management (QLoRA-tuned LLM, Informer prediction, and a new hierarchical decision transformer called HDTGA) reports big simulated KPI gains, but the evaluation has circular validation, mismatched headline numbers, and no released code.
Network Meets ChatGPT: Intent Autonomous Man- agement, Control and Operation,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.NI 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Harnessing the Power of LLMs, Informers and Decision Transformers for Intent-driven RAN Management in 6G
A three-stage GenAI framework for intent-driven RAN management (QLoRA-tuned LLM, Informer prediction, and a new hierarchical decision transformer called HDTGA) reports big simulated KPI gains, but the evaluation has circular validation, mismatched headline numbers, and no released code.