面向立体化异构网络的智融协同传输方法

季翔; 许长桥; 张宏科

doi:10.7544/issn1000-1239.202440314

面向立体化异构网络的智融协同传输方法

季翔^1,,
许长桥^1, ,,
张宏科²

1.
网络与交换技术全国重点实验室（北京邮电大学）北京　100876
2.
北京交通大学电子信息工程学院　北京　100044

基金项目: 国家杰出青年科学基金项目（62225105）；国家自然科学基金重大项目(62394323)

详细信息

作者简介:
季翔: 1997年生. 博士研究生. 主要研究方向为网络传输控制、网络智能

许长桥: 1977年生. 博士，教授，博士生导师. 主要研究方向为新型网络技术

张宏科: 1957年生. 博士，教授，中国工程院院士. 主要研究方向为新一代信息网络理论与关键技术

通讯作者:
许长桥（cqxu@bupt.edu.cn）

中图分类号: TP391
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出版历程
- 收稿日期: 2024-05-05
- 修回日期: 2024-07-12
- 网络出版日期: 2024-09-04
- 刊出日期: 2024-10-31

Smart Integrated Cooperative Transmission Method for Stereoscopic Heterogeneous Networks

1.
State Key Laboratory of Networking and Switching Technology (Beijing University of Posts and Telecommunications), Beijing 100876
2.
School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044

Funds: This work was supported by the National Natural Science Foundation of China for Distinguished Young Scholars (62225105) and the Major Program of the National Natural Science Foundation of China (62394323).

More Information

Author Bio:
Ji Xiang: born in 1997. PhD candidate. His main research interests include network transmission control and network intelligence

Xu Changqiao: born in 1977. PhD, professor, PhD supervisor. His main research interest includes innovative networking technologies

Zhang Hongke: born in 1957. PhD, professor, Academician of the Chinese Academy of Engineering. His main research interests include next-generation information network theory and key technologies

摘要

摘要:
为应对空天地立体化异构网络中由于节点异构性及连通变化带来的复杂挑战，提出了具备有界无环无阻策略更新能力的传输控制方法HWCTC. 该方法以跨层协同控制的方式将网络路由算法引入传输控制框架；在此基础上将路由更新节点的选择问题建模为节点搜索问题，使网络传输中需考虑被调用的资源限定在有界范围内. 在此基础上，设计了一种基于广度优先的启发式递增搜索算法，该算法能够有效进行全局和局部的路由配置更新，同时确保新路径无环路且无网络黑洞. 此外，为适应空天地立体化异构网络环境的波动性，还设计了一种多模式混合的拥塞控制机制，该机制能在接近网络带宽阈值时切换到更平缓的增窗模式，及时调整策略以应对网络中可能出现的多种情况. 仿真实验的结果表明，HWCTC方法在动态且高丢包率的空天地立体化异构网络环境下，不仅提供了高质量的数据传输服务，且相比于经典的Cubic和Reno方法，实现了约61.5%的吞吐量提升，显著增强了数据传输的稳定性，有效减少了节点路由动态变化对传输性能的影响.
- 传输控制 /
- 空天地立体化异构网络 /
- 路由更新 /
- 智融标识网络 /
- 拥塞控制机制
Abstract:
To address the complex challenges posed by node heterogeneity and connectivity changes in integrated stereoscopic heterogeneous networks, we propose a transmission control method with bounded, loop-free, and blocking-free policy update capabilities. This method incorporates network routing algorithms into the transmission control framework through cross-layer cooperative control. The selection of routing update nodes is modeled as a node search problem, ensuring that the resources involved in network transmission are bounded. On this basis, a breadth-first heuristic incremental search algorithm is designed to efficiently update both global and local routing configurations, ensuring that new paths are loop-free and devoid of network black holes. Additionally, to adapt to the volatility of integrated stereoscopic heterogeneous networks, a multi-mode hybrid congestion control mechanism is designed. This mechanism can switch to a more gradual window-increase mode when approaching the network bandwidth threshold, promptly adjusting policies to handle various potential network conditions. Simulation results demonstrate that HWCTC method provides high-quality data transmission services in dynamic and high packet loss rate integrated space-air-ground heterogeneous network environments. Compared with the classical Cubic and Reno algorithms, HWCTC achieves approximately 61.5% improvement in throughput, significantly enhancing data transmission stability and effectively reducing the impact of dynamic node routing changes on transmission performance.
- transmission control /
- integrated stereoscopic heterogeneous network /
- routing update /
- smart integration identifier networking /
- congestion control mechanism

HTML全文

图 1 空天地立体化异构网络传输流重配置示意图

Figure 1. Schematic diagram of traffic reconfiguration in integrated space-air-ground heterogeneous network

下载: 全尺寸图片幻灯片

图 2 空天地立体化异构网络节点协同示例

Figure 2. Example of coordinated nodes in integrated space-air-ground heterogeneous networks

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图 3 跳到跳异步确认数据传输工作流程

Figure 3. Hop-by-hop asynchronous acknowledgment data transmission workflow

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图 4 各传输控制方法吞吐量性能比较

Figure 4. Throughput performance comparison of transmission control methods

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图 5 各传输控制方法在不同空中节点比例下的时延对比

Figure 5. Delay comparison of different transmission control methods at different air node ratios

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图 6 平均端到端时延受路径长度影响分析

Figure 6. Analysis of the impact of path length on average end-to-end delay

下载: 全尺寸图片幻灯片

表 1 空天地立体化异构网络中不同传输控制方法的比较

Table 1 Comparison of Transmission Control Approaches in Integrated Space-Air-Ground Heterogeneous Networks

方法	是否跨层	响应条件	预期性能提升
Cubic^[19]	×	乱序、丢包	吞吐量
Reno^[27]	×	重复ACK、超时	稳定性、公平性
BBR^[21]	×	带宽、往返时延	吞吐量、时延
CTCP^[22]	×	中间代理token	吞吐量、公平性
A-PEP^[23]	×	发送速率	资源效率
CT-RMU^[24]	×	网络资源信息	任务完成率
H-STN^[25]	√	传输速率、需求信息、服务阈值	链路利用率
DHSTC^[26]	√	网络节点服务到达率和资源上限	缓存队列长度
HWCTC （本文）	√	吞吐量期望、阈值触发	吞吐量、无环无阻、时延、重传占比

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表 2 仿真环境下的空天地立体化异构网络详细参数

Table 2 Detailed Parameters of Integrated Air-Space-Ground Heterogeneous Network in Simulation Environment

实验参数	取值
地面节点数	5
无人机节点数	36
卫星节点数	12
卫星轨道高度/km	1460
单跳链路时延/ms	5~30
节点吞吐量/Mbps	20
数据包长度/B	512~1500
地面通信链路误码率	10⁻⁶~10⁻⁹
空中通信链路误码率	10⁻⁵~10⁻⁸
单次仿真时长/s	300

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表 3 跳到跳与端到端确认机制的性能比较

Table 3 Comparison of Performance between Hop-by-Hop and End-to-End Acknowledgment Mechanisms

跳数	确认机制	成功率	确认开销	重传数据占比
5	跳到跳	$\left(1-p_{\rm{h}op}\right)^5$	≈4.8%	(1− ${p_{\rm total}}$ )/5
5	端到端	$\left(1-p_{\rm{h}op}\right)^5$	≈1.6%	1− ${p_{\rm total}}$
6	跳到跳	$\left(1-p_{\rm{h}op}\right)^6$	≈5.6%	(1− ${p_{\rm total}}$ )/6
6	端到端	$\left(1-p_{\rm{h}op}\right)^6$	≈1.6%	1− ${p_{\rm total}}$
7	跳到跳	$\left(1-p_{\rm{h}op}\right)^7$	≈6.4%	(1− ${p_{\rm total}}$ )/7
7	端到端	$\left(1-p_{\rm{h}op}\right)^7$	≈1.6%	1− ${p_{\rm total}}$

下载: 导出CSV

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