基于链路通断预测的飞行器多路径传输优化

江卓; 吴茜; 李贺武; 吴建平

doi:10.16511/j.cnki.qhdxxb.2017.21.021

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清华大学学报（自然科学版） ›› 2017, Vol. 57 ›› Issue (12) : 1239-1244. DOI: 10.16511/j.cnki.qhdxxb.2017.21.021

计算机科学与技术

基于链路通断预测的飞行器多路径传输优化

江卓^1,2, 吴茜^2,3, 李贺武^2,3, 吴建平^1,2

作者信息 +

Link on-off prediction based multipath transfer optimization for aircraft

JIANG Zhuo^1,2, WU Qian^2,3, LI Hewu^2,3, WU Jianping^1,2

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文章历史 +

摘要

为各类飞行器提供互联网接入的主要技术方案可以分为卫星通信和地空宽带2种。当飞行器处于两者的重叠覆盖区域，采用多路径进行数据通信将有可能极大改善传输性能。针对上述飞行器多接入场景，该文提出了一种多路径传输优化方案DMPTCP （dynamic multipath transmission control protocol）。针对链路通断情况发现缓慢、数据分配效率低的问题，结合飞行轨迹可预测的特点，设计了一种基于链路通断状态预测的数据分配算法；并针对链路时延和丢包率差异大所导致的接收方乱序情况严重的问题，通过接收方同时在多条子流回复连接层否定确认信息，使得发送方能够快速获得接收方总体乱序情况并对丢包进行重传。仿真实验表明： DMPTCP在聚合带宽和接收方总体乱序情况两方面均明显优于现有多路径传输机制。

Abstract

The two main technologies used for aircraft internet access are satellite and air-to-ground (ATG) communication systems. When an aircraft flies over areas with overlapping signals, communicating with multiple paths may greatly improve transmission performance. This paper presents an optimization scheme for multipath transmissions in such aircraft multiple access scenarios. The slow link state discovery rates and inefficient data scheduling are improved by a link on-off prediction based data scheduling algorithm. The severe out-of-order condition caused by a long link round trip time (RTT) and loss rate differences is improved by transmitting a data level negative acknowledgement with all subflows from the receiver so that the sender can quickly identify and retransmit lost packets. Simulations show that this method is better than existing mechanisms for both the aggregated bandwidth and the average number of out of order packets.

导出引用

江卓, 吴茜, 李贺武, 吴建平. 基于链路通断预测的飞行器多路径传输优化[J]. 清华大学学报（自然科学版）. 2017, 57(12): 1239-1244 https://doi.org/10.16511/j.cnki.qhdxxb.2017.21.021

JIANG Zhuo, WU Qian, LI Hewu, WU Jianping. Link on-off prediction based multipath transfer optimization for aircraft[J]. Journal of Tsinghua University(Science and Technology). 2017, 57(12): 1239-1244 https://doi.org/10.16511/j.cnki.qhdxxb.2017.21.021

中图分类号： TP393.0

参考文献

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收稿日期	出版日期
2017-02-16	2017-12-15
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2017-12-15

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