5 papers
Adaptive Swin Transformer Partitioning over AI-RAN Networks
Tam Thanh Nguyen, Yong Hao Pua, Tuan Van Ngo +4
This paper demonstrates the feasibility of transformer-based split inference for real-time video object detection over dynamic 5G AI-RAN networks. We extend throughput-aware adapti…
LLM-Based Net Analyzer rApp for Explainable and Safe Automation in O-RAN Non-RT RIC
Tuan V. Ngo, Mao V. Ngo, Binbin Chen +3
Modern 5G/6G radio access networks are increasingly programmable through O-RAN, yet their operational complexity has grown with disaggregation, open interfaces, and fine-grained co…
Adaptive AI Model Partitioning over 5G Networks
Tam Thanh Nguyen, Tuan Van Ngo, Long Thanh Le +4
Mobile devices increasingly rely on deep neural networks (DNNs) for complex inference tasks, but running entire models locally drains the device battery quickly. Offloading computa…
INA-Infra: An Open and Extensible Infrastructure for Intent-driven Network Automation Research
Nguyen-Bao-Long Tran, Tuan V. Ngo, Mao V. Ngo +3
As telecommunications systems progress to support diverse use cases with heterogeneous and dynamic Quality of Service (QoS) requirements, it becomes an increasingly complex task to…
Consistent and Repeatable Testing of O-RAN Distributed Unit (O-DU) across Continents
Tuan V. Ngo, Mao V. Ngo, Binbin Chen +6
Open Radio Access Networks (O-RAN) are expected to revolutionize the telecommunications industry with benefits like cost reduction, vendor diversity, and improved network performan…