3 papers
cs.NI2025
Federated Deep Reinforcement Learning-Driven O-RAN for Automatic Multirobot Reconfiguration
Faisal Ahmed, Myungjin Lee, Shao-Yu Lien +4
The rapid evolution of Industry 4.0 has led to the emergence of smart factories, where multirobot system autonomously operates to enhance productivity, reduce operational costs, an…
eess.SP2024
Collaborative Computing in Non-Terrestrial Networks: A Multi-Time-Scale Deep Reinforcement Learning Approach
Yang Cao, Shao-Yu Lien, Ying-Chang Liang +3
Constructing earth-fixed cells with low-earth orbit (LEO) satellites in non-terrestrial networks (NTNs) has been the most promising paradigm to enable global coverage. The limited…
eess.SP2024
Collaborative Deep Reinforcement Learning for Resource Optimization in Non-Terrestrial Networks
Yang Cao, Shao-Yu Lien, Ying-Chang Liang +3
Non-terrestrial networks (NTNs) with low-earth orbit (LEO) satellites have been regarded as promising remedies to support global ubiquitous wireless services. Due to the rapid mobi…