6 papers
Adaptive and Resilient Dual-Layer Resource Slicing for Hovering Aerial Backhaul Networks
Chuan-Chi Lai, Jen-Hsiang Li
This paper investigates adaptive and resilient dual-layer resource slicing in hovering aerial agent (HAA)-assisted backhaul networks for heterogeneous 5G/6G services, including enh…
Joint Energy Efficiency and Fairness Optimization for D2D Communications in Aerial-Ground Integrated Heterogeneous Networks
Chuan-Chi Lai, Ang-Hsun Tsai, Shang-Long Wu
This study investigates an Aerial-Ground Integrated Heterogeneous network (AGIHN) architecture that combines terrestrial macro base stations and unmanned aerial vehicles (UAVs) ser…
Curriculum-Guided Reinforcement Learning for Energy-Efficient UAV-ISAC in Post-Disaster Search-and-Rescue Operations
Tai-You Guo, Chuan-Chi Lai
Uncrewed aerial vehicles (UAVs) are promising platforms for integrated sensing and communication (ISAC), but their limited onboard energy creates a strong coupling among sensing ac…
Predictive Lightweight MARL for Resilient Coverage in Sparse-Signaling Aerial Networks
Chuan-Chi Lai, Ang-Hsun Tsai
This letter proposes the Predictive Lightweight Multi-Agent Reinforcement Learning (PL-MARL) framework to ensure resilient coverage in bandwidth-constrained UAV swarms. To counter…
Spatio-Temporal Semantic Inference for Resilient 6G HRLLC in the Low-Altitude Economy
Chuan-Chi Lai, Ang-Hsun Tsai, Zhu Han
The rapid expansion of the Low-Altitude Economy (LAE) necessitates highly reliable coordination among autonomous aerial agents (AAAs). Traditional reactive communication paradigms…
Adaptive Probabilistic Skyline Analytics for Mobile Edge-Cloud Systems via State-Aware Deep Reinforcement Learning
Chuan-Chi Lai
The proliferation of Mobile Edge Computing (MEC) and distributed sensing necessitates efficient Probabilistic Skyline (PSKY) query analytics at the network edge. However, this proc…