OpenTwin is a digital twin system for O-RAN that uses XGBoost and time-aware RLS to achieve up to 96% KPM fidelity and safe closed-loop control without live-network disruption.
Title resolution pending
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
A proof-of-concept Dual-Brain system uses an LLM to translate intents into O-RAN deployment artifacts and an ML engine to train classifiers on demand.
Supervised regression models trained on COTS smartphone PHY data predict 5G throughput and BLER across LOS, nLOS, mobility, and multi-user scenarios.
citing papers explorer
-
OpenTwin: Digital Twin Driven Closed Loop KPM Inference and Control for Open RAN
OpenTwin is a digital twin system for O-RAN that uses XGBoost and time-aware RLS to achieve up to 96% KPM fidelity and safe closed-loop control without live-network disruption.
-
Advanced AI Service Provisioning in O-RAN through LLM Engine Integration
A proof-of-concept Dual-Brain system uses an LLM to translate intents into O-RAN deployment artifacts and an ML engine to train classifiers on demand.
-
ML-Based Real-Time Downlink Performance Prediction in Standalone 5G NR Using Smartphones
Supervised regression models trained on COTS smartphone PHY data predict 5G throughput and BLER across LOS, nLOS, mobility, and multi-user scenarios.