5 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…
An Efficient Error Estimation Method in Quantum Key Distribution
Yingjian Wang, Yilun Hai, Buniechukwu Njoku +3
Error estimation is an important step for error correction in quantum key distribution. Traditional error estimation methods require sacrificing a part of the sifted key, forcing a…