1 citations · 1 across the 5 of their papers we have counts for
5 papers
PRO-RAN: Processor-Level Characterization of Open RAN Centralized and Distributed Units
Moojan Kamalzadeh, Larry Horner, Linqi Xiao +5
Open Radio Access Network (O-RAN) disaggregates RAN protocol functions and enables Centralized Unit (CU) and Distributed Unit (DU) software to execute on general-purpose computing…
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…
Generative-AI for AI/ML Model Adaptive Retraining in Beyond 5G Networks
Venkateswarlu Gudepu, Bhargav Chirumamilla, Venkatarami Reddy Chintapalli +4
Beyond fifth-generation (B5G) networks aim to support high data rates, low-latency applications, and massive machine communications. Artificial Intelligence/Machine Learning (AI/ML…