Optimizing UAV Mobility: QoS-Aware Hierarchical Reinforcement Learning for SAGIN Networks

This research explores a complex problem in UAV communication and mobility management using reinforcement learning. The paper's novelty lies in its hierarchical approach, incorporating QoS awareness within the optimization framework.

• •Applies Hierarchical Reinforcement Learning (HRL) for UAV mobility.
• •Integrates Quality of Service (QoS) considerations into the optimization process.
• •Targets improvements in link selection and trajectory planning within SAGIN networks.