80 citations · 100 across the 17 of their papers we have counts for
20 papers
Outage Analysis and Bilevel Resource Optimization in RIS-Assisted Clustered UAV-NOMA Networks
Masoud Ghazikor, Ly V. Nguyen, Morteza Hashemi
This paper investigates RIS-assisted downlink UAV communications based on NOMA. Since conventional NOMA becomes difficult to scale as the number of UAVs grows, we develop a cluster…
On the Performance of Randomly Generated Codebooks in Near-Field Communications
Akarsh Yadav, Ly V. Nguyen, James V. Krogmeier +1
Near-field communication with large antenna arrays requires beamforming techniques that account for spherical wavefront effects. While predefined codebooks are widely used in multi…
Exploiting Symmetric Non-Convexity for Multi-Objective Symbol-Level DFRC Signal Design
Ly V. Nguyen, Rang Liu, Nhan Thanh Nguyen +3
Symbol-level precoding (SLP) is a promising solution for addressing the inherent interference problem in dual-functional radar-communication (DFRC) signal designs. This paper consi…
Deep Unfolding-Empowered MmWave Massive MIMO Joint Communications and Sensing
Nhan Thanh Nguyen, Ly V. Nguyen, Nir Shlezinger +3
In this paper, we propose a low-complexity and fast hybrid beamforming design for joint communications and sensing (JCAS) based on deep unfolding. We first derive closed-form expre…
Channel-Coded Precoding for Multi-User MISO Systems
Ly V. Nguyen, Junil Choi, Bjorn Ottersten +1
Precoding is a critical and long-standing technique in multi-user communication systems. However, the majority of existing precoding methods do not consider channel coding in their…
A Deep Reinforcement Learning Approach for Autonomous Reconfigurable Intelligent Surfaces
Hyuckjin Choi, Ly V. Nguyen, Junil Choi +1
A reconfigurable intelligent surface (RIS) is a prospective wireless technology that enhances wireless channel quality. An RIS is often equipped with passive array of elements and…
RIS-Aided Interference Cancellation for Joint Device-to-Device and Cellular Communications
Ly V. Nguyen, A. Lee Swindlehurst
Joint device-to-device (D2D) and cellular communication is a promising technology for enhancing the spectral efficiency of future wireless networks. However, the interference manag…
Decision-Directed Hybrid RIS Channel Estimation with Minimal Pilot Overhead
Ly V. Nguyen, A. Lee Swindlehurst
To reap the benefits of reconfigurable intelligent surfaces (RIS), channel state information (CSI) is generally required. However, CSI acquisition in RIS systems is challenging and…
Joint Communications and Sensing Hybrid Beamforming Design via Deep Unfolding
Nhan Thanh Nguyen, Ly V. Nguyen, Nir Shlezinger +3
Joint communications and sensing (JCAS) is envisioned as a key feature in future wireless communications networks. In massive MIMO-JCAS systems, hybrid beamforming (HBF) is typical…
One-Bit Massive MIMO Precoding for Frequency-Selective Fading Channels
Ly V. Nguyen, Lu Liu, Nguyen Linh-Trung +1
One-bit digital-to-analog converters (DACs) are a practical and promising solution for reducing cost and power consumption in massive multiple-input multiple-output (MIMO) systems.…
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…
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…
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…
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…