Channel model-based multiple layers satellite-ground integrated data allocation strategy

Abstract

To address the problem of inefficient satellite-ground link handover, unbalanced data allocation, and high probability 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 transmission 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 strategies 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 performances of the proposed strategy outperform other baseline algorithms in terms of delivery ratio, average delivery latency, and interruption ratio.

Keywords

• space-air-ground integrated network;data allocation strategy;channel model;seamless handover