427 citations · 845 across the 28 of their papers we have counts for
28 papers
Holographic Multi-User Multi-Stream Beamforming Maintaining Rate-Fairness
W. Zhu, H. D. Tuan, E. Dutkiewicz +2
We present the first investigation into the transmission of multi-stream information from a base station equipped with reconfigurable holographic surfaces (RHS) to multiple users w…
Long-Term Rate-Fairness-Aware Beamforming Based Massive MIMO Systems
W. Zhu, H. D. Tuan, E. Dutkiewicz +3
This is the first treatise on multi-user (MU) beamforming designed for achieving long-term rate-fairness in fulldimensional MU massive multi-input multi-output (m-MIMO) systems. Ex…
Max-min Rate Optimization of Low-Complexity Hybrid Multi-User Beamforming Maintaining Rate-Fairness
W. Zhu, H. D. Tuan, E. Dutkiewicz +2
A wireless network serving multiple users in the millimeter-wave or the sub-terahertz band by a base station is considered. High-throughput multi-user hybrid-transmit beamforming i…
Physical Layer Authentication and Security Design in the Machine Learning Era
Tiep M. Hoang, Alireza Vahid, Hoang Duong Tuan +1
Security at the physical layer (PHY) is a salient research topic in wireless systems, and machine learning (ML) is emerging as a powerful tool for providing new data-driven securit…
Low-Complexity Pareto-Optimal 3D Beamforming for the Full-Dimensional Multi-User Massive MIMO Downlink
W. Zhu, H. D. Tuan, E. Dutkiewicz +2
Full-dimensional (FD) multi-user massive multiple input multiple output (m-MIMO) systems employ large two-dimensional (2D) rectangular antenna arrays to control both the azimuth an…
Unified Optimal Transport Framework for Universal Domain Adaptation
Wanxing Chang, Ye Shi, Hoang Duong Tuan +1
Universal Domain Adaptation (UniDA) aims to transfer knowledge from a source domain to a target domain without any constraints on label sets. Since both domains may hold private cl…
Alternating Differentiation for Optimization Layers
Haixiang Sun, Ye Shi, Jingya Wang +3
The idea of embedding optimization problems into deep neural networks as optimization layers to encode constraints and inductive priors has taken hold in recent years. Most existin…
Finite-Blocklength RIS-Aided Transmit Beamforming
M. Abughalwa, H. D. Tuan, D. N. Nguyen +2
This paper considers the downlink of an ultra-reliable low-latency communication (URLLC) system in which a base station (BS) serves multiple single-antenna users in the short (fini…
Mixed integer nonlinear programming for Joint Coordination of Plug-in Electrical Vehicles Charging and Smart Grid Operations
Y. Shi, H. D. Tuan, A. V. Savkin
The problem of joint coordination of plug-in electric vehicles (PEVs) charging and grid power control is to minimize both PEVs charging cost and energy generation cost while meetin…
PMU Placement Optimization for Smart Grid Obvervability and State Estimation
Y. Shi, H. D. Tuan, A. A. Nasir +2
In this paper, phasor measurement unit (PMU) placement for power grid state estimation under different degrees of observability is studied. Observability degree is the depth of the…
NOMA for throughput and EE maximization in Energy Harvesting Enabled Networks
A. A. Nasir, H. D. Tuan, T. Q. Duong +1
Wireless power transfer via radio-frequency (RF) radiation is regarded as a potential solution to energize energy-constrained users, who are deployed close to the base stations (ne…
Parameterized Bilinear Matrix Inequality Techniques in Fuzzy PID Control Design
Y. Shi, H. D. Tuan
Proportional-integral-derivative (PID) structured controller is the most popular class of industrial control but still could not be appropriately exploited in fuzzy systems. To gai…
Global Optimal Power Flow over Large-Scale Power Transmission Network
Y. Shi, H. D. Tuan, P. Apkarian +1
Optimal power flow (OPF) over power transmission networks poses challenging large-scale nonlinear optimization problems, which involve a large number of quadratic equality and inde…
Bang-Bang Charging of Electrical Vehicles by Smart Grid Technology
Y. Shi, H. D. Tuan, T. Q. Duong +2
The success of the transportation electricification in this century particularly requires the penentration of the internet of plug-in electric vehicles (PEVs) into the smart power…
Low-Latency Multiuser Two-Way Wireless Relaying for Spectral and Energy Efficiencies
Zhichao Sheng, Hoang Duong Tuan, Trung Q. Duong +2
The paper considers two possible approaches, which enable multiple pairs of users to exchange information via multiple multi-antenna relays within one time-slot to save the communi…
Model Predictive Control for Smart Grids with Multiple Electric-Vehicle Charging Stations
Y. Shi, H. D. Tuan, A. V. Savkin +2
Next-generation power grids will likely enable concurrent service for residences and plug-in electric vehicles (PEVs). While the residence power demand profile is known and thus ca…
Power Allocation for Energy Efficiency and Secrecy of Interference Wireless Networks
Zhichao Sheng, Hoang Duong Tuan, Ali Arshad Nasir +2
Considering a multi-user interference network with an eavesdropper, this paper aims at the power allocation to optimize the worst secrecy throughput among the network links or the…
Precoder Design for Signal Superposition in MIMO-NOMA Multicell Networks
Van-Dinh Nguyen, Hoang Duong Tuan, Trung Q. Duong +2
The throughput of users with poor channel conditions, such as those at a cell edge, is a bottleneck in wireless systems. A major part of the power budget must be allocated to serve…
MIMO Beamforming for Secure and Energy-Efficient Wireless Communication
Nguyen T. Nghia, Hoang D. Tuan, Trung Q. Duong +1
Considering a multiple-user multiple-input multiple-output (MIMO) channel with an eavesdropper, this letter develops a beamformer design to optimize the energy efficiency in terms…
Secure and Energy-Efficient Beamforming for Simultaneous Information and Energy Transfer
Ali A. Nasir, Hoang D. Tuan, Trung Q. Duong +1
Next-generation communication networks will likely involve the energy-efficient transfer of information and energy over the same wireless channel, for which the physical layer will…
Matrix Product State for Higher-Order Tensor Compression and Classification
Johann A. Bengua, Ho N. Phien, Hoang D. Tuan +1
This paper introduces matrix product state (MPS) decomposition as a new and systematic method to compress multidimensional data represented by higher-order tensors. It solves two m…
Concatenated image completion via tensor augmentation and completion
Johann A. Bengua, Hoang D. Tuan, Ho N. Phien +1
This paper proposes a novel framework called concatenated image completion via tensor augmentation and completion (ICTAC), which recovers missing entries of color images with high…
Path-Following Algorithms for Beamforming and Signal Splitting in RF Energy Harvesting Networks
Ali A. Nasir, Hoang D. Tuan, Duy T. Ngo +2
We consider the joint design of transmit beamforming and receive signal-splitting ratios in the downlink of a wireless network with simultaneous radio-frequency (RF) information an…
Efficient tensor completion for color image and video recovery: Low-rank tensor train
Johann A. Bengua, Ho N. Phien, Hoang D. Tuan +1
This paper proposes a novel approach to tensor completion, which recovers missing entries of data represented by tensors. The approach is based on the tensor train (TT) rank, which…