卫星编队流调度的门控对齐策略研究
Research on gating alignment strategy for flow scheduling in satellite formation
徐川 1张汝凤 2何熊文 3崔钊婧 3赵国锋1
作者信息
- 1. 重庆邮电大学通信与信息工程学院,重庆 400065;复杂环境通信重庆市重点实验室,重庆 400065
- 2. 重庆邮电大学通信与信息工程学院,重庆 400065
- 3. 北京空间飞行器总体设计部,北京 100094
- 折叠
摘要
针对时间敏感网络(TSN)门控调度对相邻节点同步精度要求高,星间无线链路时延波动引起相邻节点门控开启出现偏差,导致业务流在多个卫星节点的调度不一致问题,提出了一种面向卫星编队流调度的门控对齐策略.首先,分析卫星编队中影响门控调度的因素,对业务流在端口的调度时间约束进行建模,并构建门控on/off列表模型;其次,设计在线滚动灰色预测算法对节点间链路时延进行预测,基于预测结果对相邻节点的门控列表偏差进行动态修正,确保多节点门控调度的一致性;最后,基于STK和EXata搭建卫星编队软件仿真场景,同时在现场可编程门阵列(FPGA)硬件平台上实现门控对齐策略.实验结果表明,所提策略能保障卫星编队中时敏业务流经过5跳卫星节点传输后时延为3 782～3 848 μs、抖动稳定在30 μs,比现有方案提升了20%.
Abstract
Aiming at the time-sensitive network(TSN)gating scheduling required high synchronization accuracy of adja-cent nodes,the delay fluctuation of inter-satellite wireless links caused the deviation of gate opening of adjacent nodes,resulting in the problem of inconsistent flow scheduling,a gating alignment strategy for flow scheduling in satellite for-mation was proposed.Firstly,the factors that affect the gating scheduling in satellite formation were analyzed,and the scheduling time constraints of traffic flow at switch ports were modeled to establish a gating on/off list model.Secondly,an online rolling gray scale prediction algorithm was designed to predict the delay of inter-node links,and based on the prediction results,the gated list deviation of neighboring nodes could be corrected dynamically to ensure the consistency of multi-node gated scheduling.Finally,the satellite formation software simulation scenario was established based on STK and EXata,moreover,the gating alignment strategy also was implemented on field programmable gate array(FPGA)hardware platform.The experimental results demonstrate that the proposed strategy can ensure that after 5-hops satellite transmission,the time delay of the time-sensitive traffic flow keeps on 3 782～3 848 μs,and the jitter is stable at 30 μs,which is 20%lower than the existing schemes.
关键词
卫星编队/时敏业务/门控对齐/确定性传输Key words
satellite formation/time-sensitive service/gate alignment/deterministic transmission引用本文复制引用
基金项目
国家自然科学基金(62171070)
重庆市自然科学基金(CSTB2023NSCQ-LZX0129)
重庆市博士后科学基金(CSTB2022NSCQ-BHX0043)
出版年
2024
国家科技期刊平台
NSTL
万方数据