QoS optimization strategy based on D-GNN for LEO satellite-assisted aviation networks

Low Earth Orbit (LEO) satellite networks offer a wide coverage, high bandwidth solution for aeronautical communications. However, the dynamic nature of both aviation and satellites leads to frequent communication link switches, significantly impacting the Quality of Service (QoS). We propose a comprehensive QoS optimization framework encompassing communications path selection and adaptive antenna orientation adjustment for LEO satellite aviation networks. For path selection optimization, we develop a Dynamic Graph Neural Network (D-GNN) algorithm to minimize link interruptions and enhance network stability. Regarding antenna orientation, an adaptive optimization algorithm has been implemented to dynamically adjust the angular relationship between satellites and aircraft, effectively mitigating transmission delays that would otherwise result from insufficient antenna pointing precision. The simulation results demonstrate that our proposed approach significantly improves QoS in the satellite environment by enhancing resource utilization, execution time, hop counts, and transmission delay. © 2025 Elsevier B.V., All rights reserved.