11 citations · 36 across the 28 of their papers we have counts for
30 papers
LIMODENet: Attention-Free Compact Encoders for Information-Preserving Onboard Satellite Image Restoration
Thanh-Dung Le, Vu Nguyen Ha, Ti Ti Nguyen +1
Onboard satellites must restore a channel-degraded image on a few watts, using neuromorphic accelerators (e.g., BrainChip Akida, Intel Loihi-2) that support no softmax or attention…
Resilient Decentralized Wireless Federated Learning via Gradient Tracking with AdamW
Nguyen Van Thieu, Ti Ti Nguyen, Ons Aouedi +2
Wireless Internet-of-Things (IoT) edge networks require decentralized learning (DecL) methods that can operate reliably under both heterogeneous local data and communication-constr…
FedQoS: Federated QoS-Risk Learning for Heterogeneous Indoor-Outdoor Access Selection
Nguyen Van Thieu, Ti Ti Nguyen, Ons Aouedi +3
Reliable access selection in dynamic and heterogeneous indoor-outdoor environments is challenging because instantaneous radio measurements alone cannot capture future QoS degradati…
Semantic Communication for Multi-Satellite Massive MIMO Transmission: A Mixture of Cooperative Modes Framework
Yafei Wang, Yuchen Zhang, Yiming Zhu +5
This paper investigates semantic communications (SemComs) for multi-satellite cooperative massive multiple-input multiple-output (MIMO) transmission, where multiple massive-MIMO sa…
A Joint JSCC-Resource Allocation Framework for QoS-Aware Semantic Communication in LEO Satellite-based EO Missions
Hung Nguyen-Kha, Ti Ti Nguyen, Vu Nguyen Ha +3
In Earth observation (EO) missions with Low Earth orbit (LEO) satellites, high-resolution image acquisition generates a massive data volume that poses a significant challenge for t…
Secure Task Offloading and Resource Allocation Design for Multi-Layer Non-Terrestrial Networks
Alejandro Flores, Isabella W. G. da Silva, Vu Nguyen Ha +4
Remote and resource-constrained Internet-of-Things (IoT) deployments often lack terrestrial connectivity for task offloading, motivating non-terrestrial networks (NTNs) with onboar…
Digital-Twin-Aided Dynamic Spectrum Sharing and Resource Management in Integrated Satellite-Terrestrial Networks
Hung Nguyen-Kha, Vu Nguyen Ha, Ti Nguyen +4
The explosive growth in wireless service demand has prompted the evolution of integrated satellite-terrestrial networks (ISTNs) to overcome the limitations of traditional terrestri…
Toward a Unified Semantic Loss Model for Deep JSCC-based Transmission of EO Imagery
Ti Ti Nguyen, Thanh-Dung Le, Vu Nguyen Ha +6
Modern Earth Observation (EO) systems increasingly rely on high-resolution imagery to support critical applications such as environmental monitoring, disaster response, and land-us…
Multi-Satellite Multi-Stream Beamspace Massive MIMO Transmission
Yafei Wang, Yiming Zhu, Vu Nguyen Ha +4
This paper studies multi-satellite multi-stream (MSMS) beamspace transmission, where multiple satellites cooperate to form a distributed multiple-input multiple-output (MIMO) syste…
DT-Aided Resource Management in Spectrum Sharing Integrated Satellite-Terrestrial Networks
Hung Nguyen-Kha, Vu Nguyen Ha, Ti Ti Nguyen +3
The integrated satellite-terrestrial networks (ISTNs) through spectrum sharing have emerged as a promising solution to improve spectral efficiency and meet increasing wireless dema…
GLUSE: Enhanced Channel-Wise Adaptive Gated Linear Units SE for Onboard Satellite Earth Observation Image Classification
Thanh-Dung Le, Vu Nguyen Ha, Ti Ti Nguyen +5
This study introduces ResNet-GLUSE, a lightweight ResNet variant enhanced with Gated Linear Unit-enhanced Squeeze-and-Excitation (GLUSE), an adaptive channel-wise attention mechani…
A Semantic-Loss Function Modeling Framework With Task-Oriented Machine Learning Perspectives
Ti Ti Nguyen, Thanh-Dung Le, Vu Nguyen Ha +9
The integration of machine learning (ML) has significantly enhanced the capabilities of Earth Observation (EO) systems by enabling the extraction of actionable insights from comple…
On-Air Deep Learning Integrated Semantic Inference Models for Enhanced Earth Observation Satellite Networks
Hong-fu Chou, Vu Nguyen Ha, Prabhu Thiruvasagam +7
Earth Observation (EO) systems are crucial for cartography, disaster surveillance, and resource administration. Nonetheless, they encounter considerable obstacles in the processing…
Semantic Knowledge Distillation for Onboard Satellite Earth Observation Image Classification
Thanh-Dung Le, Vu Nguyen Ha, Ti Ti Nguyen +8
This study presents an innovative dynamic weighting knowledge distillation (KD) framework tailored for efficient Earth observation (EO) image classification (IC) in resource-constr…
Cognitive Semantic Augmentation LEO Satellite Networks for Earth Observation
Hong-fu Chou, Vu Nguyen Ha, Prabhu Thiruvasagam +7
Earth observation (EO) systems are essential for mapping, catastrophe monitoring, and resource management, but they have trouble processing and sending large amounts of EO data eff…
Onboard Satellite Image Classification for Earth Observation: A Comparative Study of ViT Models
Thanh-Dung Le, Vu Nguyen Ha, Ti Ti Nguyen +5
Remote sensing (RS) image classification is central to Earth observation, but onboard deployment requires models that are accurate, efficient, and robust to sensor and transmission…
Seamless 5G Automotive Connectivity with Integrated Satellite Terrestrial Networks in C-Band
Hung Nguyen-Kha, Vu Nguyen Ha, Eva Lagunas +2
This paper examines integrated satellite-terrestrial networks (ISTNs) in urban environments, where terrestrial networks (TNs) and non-terrestrial networks (NTNs) share the same fre…
An Experimental Study of C-Band Channel Model in Integrated LEO Satellite and Terrestrial Systems
Hung Nguyen-Kha, Vu Nguyen Ha, Eva Lagunas +2
This paper studies the channel model for the integrated satellite-terrestrial networks operating at C-band under deployment in dense urban and rural areas. Particularly, the interf…
User-Centric Beam Selection and Precoding Design for Coordinated Multiple-Satellite Systems
Vu Nguyen Ha, Duy H. N. Nguyen, Juan C. -M. Duncan +7
This paper introduces a joint optimization framework for user-centric beam selection and linear precoding (LP) design in a coordinated multiple-satellite (CoMSat) system, employing…
Edge AI Empowered Physical Layer Security for 6G NTN: Potential Threats and Future Opportunities
Hong-fu Chou, Sourabh Solanki, Vu Nguyen Ha +5
Due to the enormous potential for economic profit offered by artificial intelligence (AI) servers, the field of cybersecurity has the potential to emerge as a prominent arena for c…
Satellite-based Quantum Network: Security and Challenges over Atmospheric Channel
Hong-fu Chou, Vu Nguyen Ha, Hayder Al-Hraishawi +4
The ultra-secure quantum network leverages quantum cryptography to deliver unsurpassed data transfer security. In principle, the well-known quantum key distribution (QKD) achieves…
A Hybrid Optimization and Deep RL Approach for Resource Allocation in Semi-GF NOMA Networks
Duc-Dung Tran, Vu Nguyen Ha, Symeon Chatzinotas +1
Semi-grant-free non-orthogonal multiple access (semi-GF NOMA) has emerged as a promising technology for the fifth-generation new radio (5G-NR) networks supporting the coexistence o…
Harnessing the Power of Swarm Satellite Networks with Wideband Distributed Beamforming
Juan Carlos Merlano Duncan, Vu Nguyen Ha, Jevgenij Krivochiza +6
The space communications industry is challenged to develop a technology that can deliver broadband services to user terminals equipped with miniature antennas, such as handheld dev…
Energy-Efficient Precoding and Feeder-Link-Beam Matching Design for Bent-Pipe SATCOM Systems
Vu Nguyen Ha, Juan Carlos Merlano Duncan, Eva Lagunas +2
This paper proposes a joint optimization framework for energy-efficient linear precoding and feeder-link-beam matching design in a multi-gateway multi-beam bent-pipe satellite comm…