Author

V. Gudepu

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Preprint Aug 2026

PRO-RAN: Processor-Level Characterization of Open RAN Centralized and Distributed Units

A controlled characterization framework that evaluates independently deployed CU and DU functions under matched hardware and traffic conditions and identify distinct CU and DU execution characteristics and motivate function-specific processor analysis and optimization is described.

Moojan Kamalzadeh, Larry J. Horner, Lin-Qi Xiao et al. · 0 citations

Jul 2026

ADORN: Adaptive Drift handling for Open RAN using Reinforcement Learning

Experimental results show that the proposed Q-learning-based adaptive retraining approach effectively reduces retraining overhead compared to greedy and random baselines, while maintaining system performance within predefined limits.

A. Subudhi, Bhargav Chirumamilla, Shubham Vaishnav et al. · arXiv.org · 0 citations

Book Open access Aug 2026

A YANG-Grounded LLM Agent Supporting Multi-Vendor OpenROADM Optical Transport Networks

This paper presents an LLM agent that extends the Optical Network Robotic Automation Platform with YANG-Grounded Agentic Retrieval-Augmented Generation (RAG), and serves as the first instantiation of a pipeline whose YANG-aware components apply to other open standards built on YANG and NETCONF.

Lin-Qi Xiao, Aparaajitha Gomathinayakam Latha, Venkateswarlu Gudepu et al. · Conference on Applications,... · 1 citation