most citedOranits: Mission Assignment and Task Offloading in Open RAN-based ITS using Metaheuristic and Deep Reinforcement Learning

1 citations · 1 across the 3 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Seeing Through WiFi: Lightweight Human Pose Estimation with Dynamic Kernel Attention

Toan D. Gian, Van-Dinh Nguyen, Vo Phi Son +5

WiFi-based human pose estimation (HPE) enables the detection and interpretation of human body positions and movements without the need for wearable devices while preserving individ…

cs.LG2026

Multi-Timescale Latent-Action DRL for Joint Optimization in Edge-Cloud Networks

Vo Phi Son, Van-Dinh Nguyen, Ngoc Hung Nguyen +2

Load imbalance across edge and cloud layers degrades latency performance in hierarchical edge-cloud computing (HECC) systems under dynamic task arrivals and heterogeneous resources…

cs.DC20261 cited

Oranits: Mission Assignment and Task Offloading in Open RAN-based ITS using Metaheuristic and Deep Reinforcement Learning

Ngoc Hung Nguyen, Nguyen Van Thieu, Quang-Trung Luu +5

In this paper, we explore mission assignment and task offloading in an Open Radio Access Network (Open RAN)-based intelligent transportation system (ITS), where autonomous vehicles…

cs.IT2025

Energy Efficiency for Massive MIMO Integrated Sensing and Communication Systems

Huy T. Nguyen, Van-Dinh Nguyen, Nhan Thanh Nguyen +5

This paper explores the energy efficiency (EE) of integrated sensing and communication (ISAC) systems employing massive multiple-input multiple-output (mMIMO) techniques to leverag…

cs.DC2025

Deadline-Aware Joint Task Scheduling and Offloading in Mobile Edge Computing Systems

Ngoc Hung Nguyen, Van-Dinh Nguyen, Anh Tuan Nguyen +3

The demand for stringent interactive quality-of-service has intensified in both mobile edge computing (MEC) and cloud systems, driven by the imperative to improve user experiences.…

cs.NI2025

Latency Optimization for Wireless Federated Learning in Multihop Networks

Shaba Shaon, Van-Dinh Nguyen, Dinh C. Nguyen

In this paper, we study a novel latency minimization problem in wireless federated learning (FL) across multi-hop networks. The system comprises multiple routes, each integrating l…