17 citations · 36 across the 16 of their papers we have counts for
17 papers
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…
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…
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…
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.…
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…
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…
Energy-Aware Resource Allocation for Energy Harvesting Powered Wireless Sensor Nodes
Ngoc M. Ngo, Trung T. Nguyen, Phuc H. Nguyen +1
Low harvested energy poses a significant challenge to sustaining continuous communication in energy harvesting (EH)-powered wireless sensor networks. This is mainly due to intermit…
HierSFL: Local Differential Privacy-aided Split Federated Learning in Mobile Edge Computing
Minh K. Quan, Dinh C. Nguyen, Van-Dinh Nguyen +3
Federated Learning is a promising approach for learning from user data while preserving data privacy. However, the high requirements of the model training process make it difficult…
On Deep Reinforcement Learning for Traffic Steering Intelligent ORAN
Fatemeh Kavehmadavani, Van-Dinh Nguyen, Thang X. Vu +1
This paper aims to develop the intelligent traffic steering (TS) framework, which has recently been considered as one of the key developments of 3GPP for advanced 5G. Since achievi…
Fairness Enhancement of UAV Systems with Hybrid Active-Passive RIS
Nhan Thanh Nguyen, Van-Dinh Nguyen, Hieu Van Nguyen +4
We consider unmanned aerial vehicle (UAV)-enabled wireless systems where downlink communications between a multi-antenna UAV and multiple users are assisted by a hybrid active-pass…
Network-Aided Intelligent Traffic Steering in 6G O-RAN: A Multi-Layer Optimization Framework
Van-Dinh Nguyen, Thang X. Vu, Nhan Thanh Nguyen +6
To enable an intelligent, programmable and multi-vendor radio access network (RAN) for 6G networks, considerable efforts have been made in standardization and development of open R…
Edge Computing for Semantic Communication Enabled Metaverse: An Incentive Mechanism Design
Nguyen Cong Luong, Quoc-Viet Pham, Thien Huynh-The +3
Semantic communication (SemCom) and edge computing are two disruptive solutions to address emerging requirements of huge data communication, bandwidth efficiency and low latency da…
Optimal Privacy Preserving for Federated Learning in Mobile Edge Computing
Hai M. Nguyen, Nam H. Chu, Diep N. Nguyen +5
Federated Learning (FL) with quantization and deliberately added noise over wireless networks is a promising approach to preserve user differential privacy (DP) while reducing wire…
Intelligent Traffic Steering in Beyond 5G Open RAN based on LSTM Traffic Prediction
Fatemeh Kavehmadavani, Van-Dinh Nguyen, Thang X. Vu +1
Open radio access network (ORAN) Alliance offers a disaggregated RAN functionality built using open interface specifications between blocks. To efficiently support various competin…
Intelligent Blockchain-based Edge Computing via Deep Reinforcement Learning: Solutions and Challenges
Dinh C. Nguyen, Van-Dinh Nguyen, Ming Ding +5
The convergence of mobile edge computing (MEC) and blockchain is transforming the current computing services in wireless Internet-of-Things networks, by enabling task offloading wi…
Hybrid Active-Passive Reconfigurable Intelligent Surface-Assisted Multi-User MISO Systems
Nhan Thanh Nguyen, Van-Dinh Nguyen, Qingqing Wu +3
We consider a multi-user multiple-input single-output (MISO) communications system which is assisted by a hybrid active-passive reconfigurable intelligent surface (RIS). Unlike con…
An Efficient Deep CNN Design for EH Short-Packet Communications in Multihop Cognitive IoT Networks
Toan-Van Nguyen, Thien Huynh-The, Van-Dinh Nguyen +3
In this paper, we design an efficient deep convolutional neural network (CNN) to improve and predict the performance of energy harvesting (EH) short-packet communications in multi-…