232 citations · 406 across the 18 of their papers we have counts for
20 papers
Federated PCA on Grassmann Manifold for Anomaly Detection in IoT Networks
Tung-Anh Nguyen, Jiayu He, Long Tan Le +2
In the era of Internet of Things (IoT), network-wide anomaly detection is a crucial part of monitoring IoT networks due to the inherent security vulnerabilities of most IoT devices…
Seamless and Energy Efficient Maritime Coverage in Coordinated 6G Space-Air-Sea Non-Terrestrial Networks
Sheikh Salman Hassan, Do Hyeon Kim, Yan Kyaw Tun +3
Non-terrestrial networks (NTNs), which integrate space and aerial networks with terrestrial systems, are a key area in the emerging sixth-generation (6G) wireless networks. As part…
Design and Implementation of 5.8GHz RF Wireless PowerTransfer System
Je Hyeon Park, Nguyen Minh Tran, Sa Il Hwang +2
In this paper, we present a 5.8 GHz radio-frequency (RF) wireless power transfer (WPT) system that consists of 64 transmit antennas and 16 receive antennas. Unlike the inductive or…
Reconfigurable Intelligent Surface-Aided Wireless Power Transfer Systems: Analysis and Implementation
Nguyen Minh Tran, Muhammad Miftahul Amri, Je Hyeon Park +2
Reconfigurable intelligent surface (RIS) is a promising technology for RF wireless power transfer (WPT) as it is capable of beamforming and beam focusing without using active and p…
Adaptive Compressive Sampling for Mid-infrared Spectroscopic Imaging
Mahsa Lotfollahi, Nguyen Tran, Sebastian Berisha +4
Minfrared spectroscopic imaging (MIRSI) is an emerging class of label-free, biochemically quantitative technologies targeting digital histopathology. Conventional histopathology re…
Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems
Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang +5
In recent years, the emerging topics of recommender systems that take advantage of natural language processing techniques have attracted much attention, and one of their applicatio…
Hyperspectral-Multispectral Image Fusion with Weighted LASSO
Nguyen Tran, Rupali Mankar, David Mayerich +1
Spectral imaging enables spatially-resolved identification of materials in remote sensing, biomedicine, and astronomy. However, acquisition times require balancing spectral and spa…
Distributed and Democratized Learning: Philosophy and Research Challenges
Minh N. H. Nguyen, Shashi Raj Pandey, Kyi Thar +4
Due to the availability of huge amounts of data and processing abilities, current artificial intelligence (AI) systems are effective in solving complex tasks. However, despite the…
Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism
Latif U. Khan, Shashi Raj Pandey, Nguyen H. Tran +4
Recent years have witnessed a rapid proliferation of smart Internet of Things (IoT) devices. IoT devices with intelligence require the use of effective machine learning paradigms.…
Cell-Free Massive MIMO for Wireless Federated Learning
Tung T. Vu, Duy T. Ngo, Nguyen H. Tran +3
This paper proposes a novel scheme for cell-free massive multiple-input multiple-output (CFmMIMO) networks to support any federated learning (FL) framework. This scheme allows each…
Edge-Computing-Enabled Smart Cities: A Comprehensive Survey
Latif U. Khan, Ibrar Yaqoob, Nguyen H. Tran +3
Recent years have disclosed a remarkable proliferation of compute-intensive applications in smart cities. Such applications continuously generate enormous amounts of data which dem…
Wireless Network Slicing: Generalized Kelly Mechanism Based Resource Allocation
Yan Kyaw Tun, Nguyen H. Tran, Duy Trong Ngo +3
Wireless network slicing (i.e., network virtualization) is one of the potential technologies for addressing the issue of rapidly growing demand in mobile data services related to 5…
eMBB-URLLC Resource Slicing: A Risk-Sensitive Approach
Madyan Alsenwi, Nguyen H. Tran, Mehdi Bennis +2
Ultra Reliable Low Latency Communication (URLLC) is a 5G New Radio (NR) application that requires strict reliability and latency. URLLC traffic is usually scheduled on top of the o…
Deep Autoencoder for Recommender Systems: Parameter Influence Analysis
Dai Hoang Tran, Zawar Hussain, Wei Emma Zhang +3
Recommender systems have recently attracted many researchers in the deep learning community. The state-of-the-art deep neural network models used in recommender systems are typical…
Ruin Theory for Dynamic Spectrum Allocation in LTE-U Networks
Aunas Manzoor, Nguyen H. Tran, Walid Saad +3
LTE in the unlicensed band (LTE-U) is a promising solution to overcome the scarcity of the wireless spectrum. However, to reap the benefits of LTE-U, it is essential to maintain it…
Deep Learning Based Caching for Self-Driving Car in Multi-access Edge Computing
Anselme Ndikumana, Nguyen H. Tran, Choong Seon Hong
Once self-driving car becomes a reality and passengers are no longer worry about it, they will need to find new ways of entertainment. However, retrieving entertainment contents at…
Joint Communication, Computation, Caching, and Control in Big Data Multi-access Edge Computing
Anselme Ndikumana, Nguyen H. Tran, Tai Manh Ho +4
The concept of multi-access edge computing (MEC) has been recently introduced to supplement cloud computing by deploying MEC servers to the network edge so as to reduce the network…
Decentralized Computation Offloading and Resource Allocation in Heterogeneous Networks with Mobile Edge Computing
Quoc-Viet Pham, Tuan LeAnh, Nguyen H. Tran +1
We consider a heterogeneous network with mobile edge computing, where a user can offload its computation to one among multiple servers. In particular, we minimize the system-wide c…
Optimal Pricing Effect on Equilibrium Behaviors of Delay-Sensitive Users in Cognitive Radio Networks
Nguyen H. Tran, Choong Seon Hong, Sungwon Lee +1
This paper studies price-based spectrum access control in cognitive radio networks, which characterizes network operators' service provisions to delay-sensitive secondary users (SU…
The Successive Approximation Approach for NUM Frameworks with Elastic and Inelastic Traffic
Phuong L. Vo, Nguyen H. Tran, Choong Seon Hong
The concave utility in the Network Utility Maximization (NUM) problem is only suitable for elastic flows. However, the networks with the multiclass traffic, the utility of inelasti…