25 citations · 33 across the 13 of their papers we have counts for
13 papers
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…
Optimal Linear Precoding Under Realistic Satellite Communications Scenarios
Geoffrey Eappen, Jorge Luis Gonzalez, Vibhum Singh +10
In this paper, optimal linear precoding for the multibeam geostationary earth orbit (GEO) satellite with the multi-user (MU) multiple-input-multiple-output (MIMO) downlink scenario…
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…
Performance Evaluation of Neuromorphic Hardware for Onboard Satellite Communication Applications
Eva Lagunas, Flor Ortiz, Geoffrey Eappen +7
Spiking neural networks (SNNs) implemented on neuromorphic processors (NPs) can enhance the energy efficiency of deployments of artificial intelligence (AI) for specific workloads.…
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 Swarms for Narrow Beamwidth Applications
Juan A. Vásquez-Peralvo, Juan Carlos Merlano Duncan, Geoffrey Eappen +1
Satellite swarms have recently gained attention in the space industry due to their ability to provide extremely narrow beamwidths at a lower cost than single satellite systems. Thi…
Energy-Efficient On-Board Radio Resource Management for Satellite Communications via Neuromorphic Computing
Flor Ortiz, Nicolas Skatchkovsky, Eva Lagunas +6
The latest satellite communication (SatCom) missions are characterized by a fully reconfigurable on-board software-defined payload, capable of adapting radio resources to the tempo…
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…
Artificial Intelligence for Satellite Communication and Non-Terrestrial Networks: A Survey
G. Fontanesi, F. Ortíz, E. Lagunas +18
This paper surveys the application and development of Artificial Intelligence (AI) in Satellite Communication (SatCom) and Non-Terrestrial Networks (NTN). We first present a compre…
Joint Linear Precoding and DFT Beamforming Design for Massive MIMO Satellite Communication
Vu Nguyen Ha, Zaid Abdullah, Geoffrey Eappen +9
This paper jointly designs linear precoding (LP) and codebook-based beamforming implemented in a satellite with massive multiple-input multiple-output (mMIMO) antenna technology. T…