基于信道建模的多层星地融合数据分配策略  

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

作　　者：宋宇杰 曹越[1] 陈诺 孙智立 SONG Yujie;CAO Yue;CHEN Nuo;SUN Zhili(School of Cyber Science and Engineering,Wuhan University,Wuhan 430070,China 2.Institute of Communication Systems,University of Surrey,Guildford GU27XH,U.K.)

机构地区：[1]武汉大学国家网络安全学院,湖北武汉430070 [2]萨里大学通信系统研究所,吉尔福德GU27XH

出　　处：《通信学报》2024年第7期70-83,共14页Journal on Communications

基　　金：国家重点研发计划基金资助项目(No.2022YFE0139300);广东省基础与应用基础研究基金资助项目(No.2022B1515120067)。

摘　　要：为了解决空天地一体化网络中面临的星地链路切换效率低、数据分配不均、数据传输中断率高等问题,针对多层卫星架构的星地融合数据传输场景,提出了一种基于信道建模的多层星地融合数据分配策略。该策略考虑星地距离、自由空间路径损失、信道增益、剩余服务时间等因素,基于香农信道容量理论,构建信道模型感知的低地球轨道卫星服务能力量化模型,从而生成数据分配策略。考虑数据传输中断风险,依托数据交互历史信息,通过可靠性确认机制动态调整数据分配策略,以提升数据传输效率,实现中断避免的星地链路无缝切换。仿真结果表明,所提策略在投递率、平均投递时延与中断率方面均优于其他基准算法。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.

关 键 词：空天地一体化网络 数据分配策略 信道建模 无缝切换 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]