376 citations · 4.1k across the 391 of their papers we have counts for
10 papers · 1 filter
Multi-Timescale Latent-Action DRL for Joint Optimization in Edge-Cloud Networks
Vo Phi Son, Van-Dinh Nguyen, Ngoc Hung Nguyen +2
Load imbalance across edge and cloud layers degrades latency performance in hierarchical edge-cloud computing (HECC) systems under dynamic task arrivals and heterogeneous resources…
Neural Precoding in Complex Projective Spaces
Zaid Abdullah, Merouane Debbah, Symeon Chatzinotas +1
Deep-learning (DL)-based precoding in multi-user multiple-input single-output (MU-MISO) systems involves training DL models to map features derived from channel coefficients to lab…
SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning
Senura Hansaja Wanasekara, Van-Dinh Nguyen, Kok-Seng +3
Goal-oriented semantic communication (SC) aims to revolutionize communication systems by transmitting only task-essential information. However, current approaches face challenges s…
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…
Flexible Payload Configuration for Satellites using Machine Learning
Marcele O. K. Mendonca, Flor G. Ortiz-Gomez, Jorge Querol +5
Satellite communications, essential for modern connectivity, extend access to maritime, aeronautical, and remote areas where terrestrial networks are unfeasible. Current GEO system…