Adaptive Service Scheduling for Satellite-Ground Downlink Capacity in Optical Satellite Networks

In recent years, commercial deployment of low earth orbit (LEO) satellites has gained attention from industry and academia with the promise of global-scale communication services via optical satellite networks (OSNs). Prior studies reported low utilization of satellite-ground downlink (SGDL) resources, making downlink a key bottleneck in OSNs. Modeling SGDL capacity is a complex research problem, due to the dynamism of the satellite networks. The traditional service scheduling methods usually use the minimum SGDL capacity to keep the downlink stable. However, the downlink capacity can be further developed. We build a new model of SGDL capacity by converting the everchanging SGDL capacity into discrete values, based on which we further propose an adaptive service scheduling method for the time-varying SGDL capacity in OSNs. Results show that adaptive service scheduling method can reduce blocking probability by 39.72% than the benchmark.