6 papers
Variational Bayesian Data Detection for Multiuser MIMO Systems Corrupted by Phase Noises
Toan-Van Nguyen, Duy H. N. Nguyen
Phase noise (PN), arising from imperfect local oscillators, introduces multiplicative distortions that degrade the performance of communication systems. In uplink multiuser multipl…
Semi-Gridless Variational Bayes Channel Estimation in XL-MIMO: Near-Field Modeling and Inference
Van-Chung Luu, Toan-Van Nguyen, Nuria González-Prelcic +1
Extremely large antenna arrays and high-frequency operation are two key technologies that advance performance metrics such as higher data rates, lower latency, and wider coverage i…
Variational Bayesian Channel Estimation and Data Detection for Cell-Free Massive MIMO with Low-Resolution Quantized Fronthaul Links
Sajjad Nassirpour, Toan-Van Nguyen, Hien Q. Ngo +3
We study the joint channel estimation and data detection (JED) problem in a cell-free massive multiple-input multiple-output (CF-mMIMO) network, where access points (APs) communica…
Variational Bayesian Inference for Time-Varying Massive MIMO Channels: Estimation and Detection
Sajjad Nassirpour, Toan-Van Nguyen, Duy H. N. Nguyen
Massive multiple-input multiple-output (MIMO) stands as a key technology for advancing performance metrics such as data rate, reliability, and spectrum efficiency in the fifth gene…
MIMO Detection with Spatial Sigma-Delta ADCs: A Variational Bayesian Approach
Toan-Van Nguyen, Sajjad Nassirpour, Italo Atzeni +3
The spatial Sigma-Delta () architecture can be leveraged to reduce the quantization noise and enhance the effective resolution of few-bit analog-to-digital converters (ADCs) at…
An Efficient Deep CNN Design for EH Short-Packet Communications in Multihop Cognitive IoT Networks
Toan-Van Nguyen, Thien Huynh-The, Van-Dinh Nguyen +3
In this paper, we design an efficient deep convolutional neural network (CNN) to improve and predict the performance of energy harvesting (EH) short-packet communications in multi-…