4 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…
SLA-Aware Distributed LLM Inference Across Device-RAN-Cloud
Hariz Yet, Nguyen Thanh Tam, Mao V. Ngo +5
Embodied AI requires sub-second inference near the Radio Access Network (RAN), but deployments span heterogeneous tiers (on-device, RAN-edge, cloud) and must not disrupt real-time…
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…