80 citations · 126 across the 13 of their papers we have counts for
15 papers
Variational Bayes Inference for Data Detection in Cell-Free Massive MIMO
Ly V. Nguyen, Hien Quoc Ngo, Le-Nam Tran +2
Cell-free massive MIMO is a promising technology for beyond-5G networks. Through the deployment of many cooperating access points (AP), the technology can significantly enhance use…
Variational Bayes for Joint Channel Estimation and Data Detection in Few-Bit Massive MIMO Systems
Ly V. Nguyen, A. Lee Swindlehurst, Duy H. N. Nguyen
Massive multiple-input multiple-output (MIMO) communications using low-resolution analog-to-digital converters (ADCs) is a promising technology for providing high spectral and ener…
A Variational Bayesian Perspective on Massive MIMO Detection
Duy H. N. Nguyen, Italo Atzeni, Antti Tölli +1
Optimal data detection in massive multiple-input multiple-output (MIMO) systems requires prohibitive computational complexity. A variety of detection algorithms have been proposed…
Leveraging Deep Neural Networks for Massive MIMO Data Detection
Ly V. Nguyen, Nhan T. Nguyen, Nghi H. Tran +3
Massive multiple-input multiple-output (MIMO) is a key technology for emerging next-generation wireless systems. Utilizing large antenna arrays at base-stations, massive MIMO enabl…
Deep Learning for Estimation and Pilot Signal Design in Few-Bit Massive MIMO Systems
Ly V. Nguyen, Duy H. N. Nguyen, A. Lee Swindlehurst
Estimation in few-bit MIMO systems is challenging, since the received signals are nonlinearly distorted by the low-resolution ADCs. In this paper, we propose a deep learning framew…
Machine Learning-based Reconfigurable Intelligent Surface-aided MIMO Systems
Nhan Thanh Nguyen, Ly V. Nguyen, Thien Huynh-The +3
Reconfigurable intelligent surface (RIS) technology has recently emerged as a spectral- and cost-efficient approach for wireless communications systems. However, existing hand-engi…
DNN-based Detectors for Massive MIMO Systems with Low-Resolution ADCs
Ly V. Nguyen, Duy H. N. Nguyen, A. Lee Swindlehurst
Low-resolution analog-to-digital converters (ADCs) have been considered as a practical and promising solution for reducing cost and power consumption in massive Multiple-Input-Mult…
Multi-Agent Reinforcement Learning for Channel Assignment and Power Allocation in Platoon-Based C-V2X Systems
Hung V. Vu, Mohammad Farzanullah, Zheyu Liu +3
We consider the problem of joint channel assignment and power allocation in underlaid cellular vehicular-to-everything (C-V2X) systems where multiple vehicle-to-network (V2N) uplin…
Linear and Deep Neural Network-based Receivers for Massive MIMO Systems with One-Bit ADCs
Ly V. Nguyen, A. Lee Swindlehurst, Duy H. N. Nguyen
The use of one-bit analog-to-digital converters (ADCs) is a practical solution for reducing cost and power consumption in massive Multiple-Input-Multiple-Output (MIMO) systems. How…
SVM-based Channel Estimation and Data Detection for One-Bit Massive MIMO Systems
Ly V. Nguyen, A. Lee Swindlehurst, Duy H. N. Nguyen
The use of low-resolution Analog-to-Digital Converters (ADCs) is a practical solution for reducing cost and power consumption for massive Multiple-Input-Multiple-Output (MIMO) syst…
Neural Network-Optimized Channel Estimator and Training Signal Design for MIMO Systems with Few-Bit ADCs
Duy H. N. Nguyen
This paper is concerned with channel estimation in MIMO systems with few-bit ADCs. In these systems, a linear minimum mean-squared error (MMSE) channel estimator obtained in closed…
System Energy-Efficient Hybrid Beamforming for mmWave Multi-user Systems
Vu Nguyen Ha, Duy H. N. Nguyen, Jean-Francois Frigon
This paper develops energy-efficient hybrid beamforming designs for mmWave multi-user systems where analog precoding is realized by switches and phase shifters such that radio freq…
Linear Receivers for Massive MIMO Systems with One-Bit ADCs
Ly V. Nguyen, Duy H. N. Nguyen
In this letter, we propose three linear receivers including Bussgang-based Maximal Ratio Combining (BMRC), Bussgang-based Zero-Forcing (BZF), and Bussgang-based Minimum Mean Square…
Supervised and Semi-Supervised Learning for MIMO Blind Detection with Low-Resolution ADCs
Ly V. Nguyen, Duy T. Ngo, Nghi H. Tran +2
The use of low-resolution analog-to-digital converters (ADCs) is considered to be an effective technique to reduce the power consumption and hardware complexity of wireless transce…
Optimal Dynamic Point Selection for Power Minimization in Multiuser Downlink CoMP
Duy H. N. Nguyen, Long B. Le, Tho Le-Ngoc
This paper examines a CoMP system where multiple base-stations (BS) employ coordinated beamforming to serve multiple mobile-stations (MS). Under the dynamic point selection mode, e…