基于信道建模的多层星地融合数据分配策略

宋宇杰; 曹越; 陈诺; 孙智立

doi:10.11959/j.issn.1000-436x.2024127

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基于信道建模的多层星地融合数据分配策略

专题：低地球轨道卫星互联网 | 更新时间：2024-08-09

- 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
- 通信学报 2024年45卷第7期页码：70-83
- 作者机构：
  
  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 GU2 7XH
- 作者简介：
  
  [ "宋宇杰（1997- ），男，四川绵阳人，武汉大学博士生，主要研究方向为车路协同组网传输、空天地一体化网络信任管理等。" ]
  [ "曹越（1984- ），男，湖北武汉人，博士，武汉大学教授，主要研究方向为计算机网络安全、智能交通等。" ]
  [ "陈诺（2000- ），男，湖北武汉人，武汉大学硕士生，主要研究方向为星地融合组网。" ]
  [ "孙智立（1961- ），男，博士，萨里大学教授，主要研究方向为卫星网络与互联网协议等。" ]
- 基金信息：
  
  国家重点研发计划基金资助项目(2022YFE0139300);广东省基础与应用基础研究基金资助项目(2022B1515120067)
- DOI：10.11959/j.issn.1000-436x.2024127
  中图分类号： TP391
- 收稿日期：2024-01-19，
  
  修回日期：2024-04-03，
  
  纸质出版日期：2024-07-25
- 稿件说明：
移动端阅览
宋宇杰,曹越,陈诺等.基于信道建模的多层星地融合数据分配策略[J].通信学报,2024,45(07):70-83.

SONG Yujie,CAO Yue,CHEN Nuo,et al.Channel model-based multiple layers satellite-ground integrated data allocation strategy[J].Journal on Communications,2024,45(07):70-83.
宋宇杰,曹越,陈诺等.基于信道建模的多层星地融合数据分配策略[J].通信学报,2024,45(07):70-83. DOI： 10.11959/j.issn.1000-436x.2024127.

SONG Yujie,CAO Yue,CHEN Nuo,et al.Channel model-based multiple layers satellite-ground integrated data allocation strategy[J].Journal on Communications,2024,45(07):70-83. DOI： 10.11959/j.issn.1000-436x.2024127.

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。

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.

关键词

Keywords

references

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