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20222025
most citedArtificial Intelligence for Satellite Communication and Non-Terrestrial Networks: A Survey

25 citations · 33 across the 13 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.LG2024★ 2 cited

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…

cs.CV2024

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…

cs.NI2024★ 1 cited

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…

eess.SP2024

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…

eess.SP2024★ 1 cited

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…

eess.SP2024

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.…

cs.NI2024★ 3 cited

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…