Channel model-based multiple layers satellite-ground integrated data allocation strategy
To address the problem of inefficient satellite-ground link handover,unbalanced data allocation,and high prob-ability of data transmission interruptions in space-air-ground integrated networks,a channel model-based multiple layers satellite-ground integrated data allocation strategy(CMDAS)was proposed for the satellite-ground integrated data trans-mission scenario with a multi-layer architecture.Considered various factors,e.g.,the satellite-ground distance,free space path loss,channel gain,and remaining service time,a service capacity quantification model of low earth orbit satellites based on the Shannon's capacity theory was constructed,thus generating data allocation strategies.Considered the risk of data transmission interruptions with historical interaction information and dynamically adjusted data allocation strate-gies based on a reliability acknowledgement mechanism,the efficiency of data transmission was improved and satellite-ground link seamless handover with interruption avoidance was realized.The simulation results show that the perfor-mances of the proposed strategy outperform other baseline algorithms in terms of delivery ratio,average delivery latency,and interruption ratio.
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