works on

From the 1 of 10 linked papers with an AI index.

activity
20242026
collaborators

8 papers

eess.SP2026

Digital-Twin-Aided Dynamic Spectrum Sharing and Resource Management in Integrated Satellite-Terrestrial Networks

Hung Nguyen-Kha, Vu Nguyen Ha, Ti Nguyen +4

The paper proposes a digital‑twin‑enabled framework for dynamic spectrum sharing and resource management in integrated satellite‑terrestrial networks, formulating and solving long‑…

eess.SP2026

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…

eess.IV2026

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…

eess.SP2025

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…

eess.SP2025

Enhanced Throughput and Seamless Handover Solutions for Urban 5G-Vehicle C-Band Integrated Satellite-Terrestrial Networks

Hung Nguyen-Kha, Vu Nguyen Ha, Eva Lagunas +2

This paper investigates downlink transmission in 5G Integrated Satellite-Terrestrial Networks (ISTNs) supporting automotive users (UEs) in urban environments, where base stations (…

cs.CV2025

Onboard Satellite Image Classification for Earth Observation: A Comparative Study of ViT Models

Thanh-Dung Le, Vu Nguyen Ha, Ti Ti Nguyen +9

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…