高动态天空地一体化网络资源表征与分配建模OA

The space-air-ground integrated network(SAGIN)exhibits pronounced characteristics of time-varying topology,heteroge-neous links,and cross-domain coupling,all driven by high-velocity LEO satellites,highly maneuverable aerial platforms,and rapidly moving terrestrial nodes,which together cause network resource states to oscillate violently between minute-level topology reconfigura-tions and second or millisecond-level traffic surges.Conventional single-scale time-varying graph models discretize this process with fixed time slots,incurring a triple bottleneck of granularity mismatch,complexity explosion,and representation distortion.To address these issues,this paper proposes the dual-scale time-varying graph(DSTVG),which,under a topology-traffic co-driven framework,en-ables accurate characterization of high-dynamic network resource evolution.Additionally,a high-dynamic network resource allocation model is built upon DSTVG to achieve efficient and precise matching between spatial traffic demands and spatial resources.Simulation results demonstrate that the dual advantages of the proposed DSTVG in representation accuracy and computational efficiency,offering a scalable theoretical tool for high-dynamic resource management in SAGIN.