Ly Van Nguyen

Orcid: 0000-0002-2682-4118

Affiliations:
  • San Diego State University, San Diego, CA, USA


According to our database1, Ly Van Nguyen authored at least 21 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Decision-Directed Hybrid RIS Channel Estimation With Minimal Pilot Overhead.
IEEE Trans. Commun., October, 2024

Variational Bayes for Joint Channel Estimation and Data Detection in Few-Bit Massive MIMO Systems.
IEEE Trans. Signal Process., 2024

Channel Estimation in Low-Resolution Near-Field Massive MIMO Systems.
Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024

RIS-Aided Interference Cancellation for Joint Device-to-Device and Cellular Communications.
Proceedings of the IEEE International Conference on Communications Workshops, 2024

Exploitation of Symmetrical Non-Convexity for Symbol-Level DFRC Signal Design.
Proceedings of the IEEE International Conference on Communications, 2024

A Deep Reinforcement Learning Approach for Autonomous Reconfigurable Intelligent Surfaces.
Proceedings of the IEEE International Conference on Communications Workshops, 2024

2023
Leveraging Deep Neural Networks for Massive MIMO Data Detection.
IEEE Wirel. Commun., February, 2023

Deep Learning for Estimation and Pilot Signal Design in Few-Bit Massive MIMO Systems.
IEEE Trans. Wirel. Commun., 2023

Joint Communications and Sensing Hybrid Beamforming Design via Deep Unfolding.
CoRR, 2023

One-Bit Massive MIMO Precoding for Frequency-Selective Fading Channels.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

Fast Deep Unfolded Hybrid Beamforming in Multiuser Large MIMO Systems.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022
Fisher Information Neural Estimation.
Proceedings of the 30th European Signal Processing Conference, 2022

A Variational Bayesian Perspective on MIMO Detection with Low-Resolution ADCs.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

Variational Bayes Inference for Data Detection in Cell-Free Massive MIMO.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021
Linear and Deep Neural Network-Based Receivers for Massive MIMO Systems With One-Bit ADCs.
IEEE Trans. Wirel. Commun., 2021

SVM-Based Channel Estimation and Data Detection for One-Bit Massive MIMO Systems.
IEEE Trans. Signal Process., 2021

Machine Learning-based Reconfigurable Intelligent Surface-aided MIMO Systems.
Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

DNN-based Detectors for Massive MIMO Systems with Low-Resolution ADCs.
Proceedings of the ICC 2021, 2021

2020
Supervised and Semi-Supervised Learning for MIMO Blind Detection With Low-Resolution ADCs.
IEEE Trans. Wirel. Commun., 2020

SVM-based Channel Estimation and Data Detection for Massive MIMO Systems with One-Bit ADCs.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

2018
Learning Methods for MIMO Blind Detection with Low-Resolution ADCs.
Proceedings of the 2018 IEEE International Conference on Communications, 2018


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