Nhan T. Nguyen
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View article: AoI-Aware Machine Learning for Constrained Multimodal Sensing-Aided Communications
AoI-Aware Machine Learning for Constrained Multimodal Sensing-Aided Communications Open
Using environmental sensory data can enhance communications beam training and reduce its overhead compared to conventional methods. However, the availability of fresh sensory data during inference may be limited due to sensing constraints …
View article: Attention-Enhanced Learning for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications
Attention-Enhanced Learning for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Open
Beam training and prediction in millimeter-wave communications are highly challenging due to fast time-varying channels and sensitivity to blockages and mobility. In this context, infrastructure-mounted cameras can capture rich environment…
View article: Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications
Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Open
Infrastructure-mounted sensors can capture rich environmental information to enhance communications and facilitate beamforming in millimeter-wave systems. This work presents an efficient sensing-assisted long-term beam tracking framework t…
View article: Energy Efficiency for Massive MIMO Integrated Sensing and Communication Systems
Energy Efficiency for Massive MIMO Integrated Sensing and Communication Systems Open
This paper explores the energy efficiency (EE) of integrated sensing and communication (ISAC) systems employing massive multiple-input multiple-output (mMIMO) techniques to leverage spatial beamforming gains for both communication and sens…
View article: Dynamic Joint Communications and Sensing Precoding Design: A Lyapunov Approach
Dynamic Joint Communications and Sensing Precoding Design: A Lyapunov Approach Open
View article: A Study on Parametric Latent Dynamics Identification for Aerodynamic Flow Modelling
A Study on Parametric Latent Dynamics Identification for Aerodynamic Flow Modelling Open
View article: A Simple 3D Damage-Plasticity Model with Energy-Based Regularisation in SPH for Modelling Fractured Quasi-brittle Rocks
A Simple 3D Damage-Plasticity Model with Energy-Based Regularisation in SPH for Modelling Fractured Quasi-brittle Rocks Open
This study presents a new 3D coupled damage-plasticity model with energy-based regularisation in Smoothed Particle Hydrodynamics (SPH) for modelling fractured quasi-brittle rocks. The model accounts for energy dissipation in both the tensi…
View article: Digital and Hybrid Precoding Designs in Massive MIMO With Low-Resolution ADCs
Digital and Hybrid Precoding Designs in Massive MIMO With Low-Resolution ADCs Open
View article: Joint Beamforming Design and Bit Allocation in Massive MIMO With Resolution-Adaptive ADCs
Joint Beamforming Design and Bit Allocation in Massive MIMO With Resolution-Adaptive ADCs Open
View article: Constrained Multimodal Sensing-Aided Communications: A Dynamic Beamforming Design
Constrained Multimodal Sensing-Aided Communications: A Dynamic Beamforming Design Open
Using multimodal sensory data can enhance communications systems by reducing the overhead and latency in beam training. However, processing such data incurs high computational complexity, and continuous sensing results in significant power…
View article: Sum Rate and Cramér-Rao Lower Bound Analysis for RIS-Assisted Multiuser Large-Antenna ISAC
Sum Rate and Cramér-Rao Lower Bound Analysis for RIS-Assisted Multiuser Large-Antenna ISAC Open
International audience
View article: Optimal ISAC Beamforming Structure and Efficient Algorithms for Sum Rate and CRLB Balancing
Optimal ISAC Beamforming Structure and Efficient Algorithms for Sum Rate and CRLB Balancing Open
Integrated sensing and communications (ISAC) has emerged as a promising paradigm to unify wireless communications and radar sensing, enabling efficient spectrum and hardware utilization. A core challenge with realizing the gains of ISAC st…
View article: Comprehensive Review of Deep Unfolding Techniques for Next-Generation Wireless Communication Systems
Comprehensive Review of Deep Unfolding Techniques for Next-Generation Wireless Communication Systems Open
The application of machine learning in wireless communications has been extensively explored, with deep unfolding emerging as a powerful model-based technique. Deep unfolding enhances interpretability by transforming complex iterative algo…
View article: Low-Complexity Cramér-Rao Lower Bound and Sum Rate Optimization in ISAC Systems
Low-Complexity Cramér-Rao Lower Bound and Sum Rate Optimization in ISAC Systems Open
While Cramér-Rao lower bound is an important metric in sensing functions in integrated sensing and communications (ISAC) designs, its optimization usually involves a computationally expensive solution such as semidefinite relaxation. In th…
View article: Performance Analysis and Power Allocation for Massive MIMO ISAC Systems
Performance Analysis and Power Allocation for Massive MIMO ISAC Systems Open
View article: Modelling the evolution of fracture process zone considering strain rate effect
Modelling the evolution of fracture process zone considering strain rate effect Open
View article: Resource Allocation for RIS-Enhanced OFDM-MIMO ISAC Systems
Resource Allocation for RIS-Enhanced OFDM-MIMO ISAC Systems Open
View article: Controlling behaviour of constitutive models for rocks using energy dissipations
Controlling behaviour of constitutive models for rocks using energy dissipations Open
View article: Deep Unfolding-Empowered MmWave Massive MIMO Joint Communications and Sensing
Deep Unfolding-Empowered MmWave Massive MIMO Joint Communications and Sensing Open
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 expressions for the gradients of the communications sum rate and…
View article: Deep Unfolding-Empowered Energy Efficiency Optimization in RIS-Assisted Wireless Communications
Deep Unfolding-Empowered Energy Efficiency Optimization in RIS-Assisted Wireless Communications Open
View article: Performance Analysis and Power Allocation for Massive MIMO ISAC Systems
Performance Analysis and Power Allocation for Massive MIMO ISAC Systems Open
Integrated sensing and communications (ISAC) is envisioned as a key feature in future wireless communications networks. Its integration with massive multiple-input-multiple-output (MIMO) techniques promises to leverage substantial spatial …
View article: Multi-Static Cell-Free Massive MIMO ISAC: Performance Analysis and Power Allocation
Multi-Static Cell-Free Massive MIMO ISAC: Performance Analysis and Power Allocation Open
In this work, we consider a cell-free massive multiple-input multiple-output (MIMO) integarted sensing and communications (ISAC) system with maximum-ratio transmission schemes combined with multistatic radar-type sensing. Our focus lies on…
View article: Switch-Based Hybrid Beamforming Transceiver Design for Wideband Communications With Beam Squint
Switch-Based Hybrid Beamforming Transceiver Design for Wideband Communications With Beam Squint Open
View article: Digital and Hybrid Precoding Designs in Massive MIMO with Low-Resolution ADCs
Digital and Hybrid Precoding Designs in Massive MIMO with Low-Resolution ADCs Open
Low-resolution analog-to-digital converters (ADCs) have emerged as an efficient solution for massive multiple-input multiple-output (MIMO) systems to reap high data rates with reasonable power consumption and hardware complexity. In this p…
View article: Beamforming Design for Max-Min Fairness Performance Balancing in ISAC Systems
Beamforming Design for Max-Min Fairness Performance Balancing in ISAC Systems Open
Integrated sensing and communications (ISAC) is envisioned as a key technology for future wireless communications. In this paper, we consider a downlink monostatic ISAC system wherein the base station serves multiple communications users a…
View article: Hybrid Receiver Design for Massive MIMO-OFDM with Low-Resolution ADCs and Oversampling
Hybrid Receiver Design for Massive MIMO-OFDM with Low-Resolution ADCs and Oversampling Open
Low-resolution analog-to-digital converters (ADCs) and hybrid beamforming have emerged as efficient solutions to reduce power consumption with satisfactory spectral efficiency (SE) in massive multiple-input multiple-output (MIMO) systems. …
View article: Joint Beamforming Design and Bit Allocation in Massive MIMO with Resolution-Adaptive ADCs
Joint Beamforming Design and Bit Allocation in Massive MIMO with Resolution-Adaptive ADCs Open
Low-resolution analog-to-digital converters (ADCs) have emerged as a promising technology for reducing power consumption and complexity in massive multiple-input multiple-output (MIMO) systems while maintaining satisfactory spectral and en…
View article: Air quality monitoring using drones (UAV)
Air quality monitoring using drones (UAV) Open
Air pollution causes many diseases and is a major environmental threat, therefore, it is essential to monitor and improve the air quality. With this work, we aim to assess atmospheric pollution using drone-mounted air sensors, with specifi…
View article: Joint Communications and Sensing Hybrid Beamforming Design via Deep Unfolding
Joint Communications and Sensing Hybrid Beamforming Design via Deep Unfolding Open
View article: Perspective Chapter: Intelligent Adaptive Flight Control Augmentation of a Dynamic Inversion Autopilot
Perspective Chapter: Intelligent Adaptive Flight Control Augmentation of a Dynamic Inversion Autopilot Open
High-speed UAV flight control is challenged by unknown external aerodynamic disturbances and internal system variations due to complex aerodynamic configuration, propellant consumption, the center of gravity movement, and possible actuator…