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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

V. Gudepu

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Preprint Aug 2026

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

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 platforms. Different CU and DU protocol responsibilities produce different processor workloads and execution paths. Conventional performance...

Moojan Kamalzadeh, Larry J. Horner, Linqi Xiao et al. · 0 citations
Preprint Jul 2026

ADORN: Adaptive Drift handling for Open RAN using Reinforcement Learning

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. Traditional retraining approaches maintain forecasting accuracy but incur high computational cost and may lead to violations of Service Level Agreeme...

Ashit Subudhi, B. Chirumamilla, Shubham Vaishnav et al. · 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.

Linqi Xiao, Aparaajitha Gomathinayakam Latha, V. Gudepu et al. · 0 citations

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