4 papers
ADORN: Adaptive Drift handling for Open RAN using Reinforcement Learning
Ashit Kumar Subudhi, Bhargav Chirumamilla, Shubham Vaishnav +5
Dynamic traffic variations in Open Radio Access Networks (O-RAN) lead to drift, which degrades the performance of Artificial Intelligence/Machine Learning (AI/ML) models. Tradition…
Integrating Explainable AI for Energy Efficient Open Radio Access Networks
L. Malakalapalli, V. Gudepu, B. Chirumamilla +2
The Open Radio Access Network (Open RAN) is an emerging idea -- transforming the traditional Radio Access Networks (RAN) that are monolithic and inflexible into more flexible and i…
Performance Evaluation of Scheduling Scheme in O-RAN 5G Network using NS-3
A. K. Subudhi, A. Piccioni, V. Gudepu +4
The integration of Open Radio Access Network (O-RAN) principles into 5G networks introduces a paradigm shift in how radio resources are managed and optimized. O-RAN's open architec…
FALCON: A Framework for Fault Prediction in Open RAN Using Multi-Level Telemetry
Yaswanth Kumar LS, Somya Jain, Bheemarjuna Reddy Tamma +1
O-RAN has brought in deployment flexibility and intelligent RAN control for mobile operators through its disaggregated and modular architecture using open interfaces. However, this…