卫星互联网业务智能识别分类算法与仿真

崔涛; 任智源; 黎军; 谭庆贵; 李静玲; 梁薇

doi:10.11959/j.issn.2096-8930.2022023

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卫星互联网业务智能识别分类算法与仿真

专题：卫星互联网空间载荷 | 更新时间：2024-06-03

- 卫星互联网业务智能识别分类算法与仿真
- Intelligent Identifi cation and Classifi cation Algorithm and Simulation of Satellite Internet Business
- 天地一体化信息网络 2022年3卷第2期页码：72-80
- 作者机构：
  
  1. 中国空间技术研究院西安分院空间微波技术重点实验室，陕西西安 710100
  2. 西安电子科技大学综合业务网理论及关键技术国家重点实验室，陕西西安 710071
- 作者简介：
  
  [ "崔涛（1984-），中国空间技术研究院西安分院高级工程师，主要研究方向为卫星网络处理与交换" ]
  [ "任智源（1983-），西安电子科技大学教授，博士生导师，主要研究方向为星载在轨边缘计算" ]
  [ "黎军（1975-），中国空间技术研究院西安分院研究员，主要研究方向为卫星高速数据处理与传输" ]
  [ "谭庆贵（1975-），中国空间技术研究院西安分院研究员，主要研究方向为微波光子、卫星光通信和光学相控阵天线技术" ]
  [ "李静玲（1984-），中国空间技术研究院西安分院高级工程师，主要研究方向为卫星高速数据处理与传输" ]
  [ "梁薇（1986-），中国空间技术研究院西安分院高级工程师，主要研究方向为卫星高速数据处理与传输" ]
- 基金信息：
  
  国家重点实验室稳定支持基金;The Sustained Supported Foundation by National Key Laboratory(HTKJ2020KL504010);国家重点实验室稳定支持基金;The National Key Laboratory Stability Support Foundation(HTKJ2021KL504006)
- DOI：10.11959/j.issn.2096-8930.2022023
  中图分类号： TN927+.2
- 网络出版日期：2022-06，
  
  纸质出版日期：2022-06-20
- 稿件说明：
移动端阅览
崔涛, 任智源, 黎军, 等. 卫星互联网业务智能识别分类算法与仿真[J]. 天地一体化信息网络, 2022,3(2):72-80.

Tao CUI, Zhiyuan REN, Jun LI, et al. Intelligent Identifi cation and Classifi cation Algorithm and Simulation of Satellite Internet Business[J]. Space-integrated-ground information networks, 2022, 3(2): 72-80.
崔涛, 任智源, 黎军, 等. 卫星互联网业务智能识别分类算法与仿真[J]. 天地一体化信息网络, 2022,3(2):72-80. DOI： 10.11959/j.issn.2096-8930.2022023.

Tao CUI, Zhiyuan REN, Jun LI, et al. Intelligent Identifi cation and Classifi cation Algorithm and Simulation of Satellite Internet Business[J]. Space-integrated-ground information networks, 2022, 3(2): 72-80. DOI： 10.11959/j.issn.2096-8930.2022023.

摘要

任务需求的不断增长以及接入业务种类的不断增加，对卫星互联网的多业务协同传输能力和网络资源全局调度能力提出新的挑战，需要对其承载的业务进行区分服务从而进行资源的最优化调配，满足卫星互联网多业务服务质量保障要求。提出一种面向卫星动态网络的业务智能识别分类算法，通过分析卫星间的连通关系，建立时空稳态图，确定动态卫星网络拓扑，构建卫星仿真网络；在此基础上对5种卫星业务数据进行采样从而形成训练数据集，提出一种基于灰度图的业务智能识别方法，在卫星动态场景下将抓包获取的数据包转换为灰度图作为算法的输入进行训练与识别。结果表明随着迭代次数的增加，识别准确率随之提高，可在97％以上，验证了所提算法的有效性，为卫星互联网空间载荷的发展提供了技术支撑。

Abstract

With the continuous growth of task requirements and the increasing types of access services

new challenges are raised to the multi-service collaborative transmission capability and the global scheduling capability of network resources of satellite Internet.It is necessary to diff erentiate the services carried by it to optimize resource allocation to meet the service quality assurance requirements of satellite internet multi-service.A business intelligence identifi cation and classifi cation algorithm for satellite dynamic network was proposed.By analyzed the connectivity between satellites

a spatio-temporal steady state diagram was established

the dynamic satellite network topology was determined

and a satellite simulation network was constructed.Sampling to form a training data set

a business intelligence recognition method based on grayscale image was proposed

and the captured data packet was converted into a grayscale image as the input of the algorithm for training and identifi cation under the satellite dynamic scene.The results showed that with the increase of the number of iterations

the recognition accuracy increases

and the recognition accuracy was 97% or more

which verifi ed the eff ectiveness of the proposed algorithm and provided technical support for the development of satellite internet space payloads.

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references

吴巍 . 天地一体化信息网络发展综述 [J ] . 天地一体化信息网络 , 2020 , 1 ( 1 ): 1 - 16 .

WU W . Survey on the development of space-integrated-ground information network [J ] . Space-Integrated-Ground Information Networks , 2020 , 1 ( 1 ): 1 - 16 .

孙晨华 . 专题导读 [J ] . 天地一体化信息网络 . 2021 , 2 ( 4 ): 66 .

SUN C H . Topic guide [J ] . Space-Integrated-Ground Information Networks , 2021 , 2 ( 4 ): 66 .

汪春霆 , 翟立君 , 徐晓帆 . 天地一体化信息网络发展与展望 [J ] . 无线电通信技术 , 2020 , 46 ( 5 ): 493 - 504 .

WANG C T , ZHAI L J , XU X F . Development and prospects of space-terrestrial integrated information network [J ] . Radio Communications Technology , 2020 , 46 ( 5 ): 493 - 504 .

WANG N , NOUWELL N , GE C , et al . Satellite support for enhanced mobile broadband content delivery in 5G [C ] // Proceedings of 2018 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting . Piscataway:IEEE Press , 2018 : 1 - 6 .

FANG C , YAO H P , WANG Z W , et al . A survey of mobile information-centric networking:research issues and challenges [J ] . IEEE Communications Surveys ＆ Tutorials , 2018 , 20 ( 3 ): 2353 - 2371 .

张美蓉 , 镐梦婷 , 王闯 , 等 . 高低轨卫星异构网络资源管控策略与技术研究 [J ] . 天地一体化信息网络 , 2021 , 2 ( 4 ): 67 - 74 .

ZHANG M R , GAO M T , WANG C , et al . Research on strategies and technologies for resource management and control of heterogeneous network of high and low orbit satellites [J ] . SpaceIntegrated-Ground Information Networks , 2021 , 2 ( 4 ): 67 - 74 .

周笛 , 盛敏 , 郝琪 , 等 . 巨型星座系统的网络运维与资源管控技术 [J ] . 天地一体化信息网络 , 2020 , 1 ( 1 ): 26 - 35 .

ZHOU D , SHENG M , HAO Q , et al . Network operation,maintenance and resource management in mega constellation system [J ] . Space-Integrated-Ground Information Networks , 2020 , 1 ( 1 ): 26 - 35 .

张晓凯 , 郭道省 , 张邦宁 . 空天地一体化网络研究现状与新技术的应用展望 [J ] . 天地一体化信息网络 , 2021 , 2 ( 4 ): 19 - 26 .

ZHANG X K , GUO D X , ZHANG B N . Research status of spaceair-ground integrated network and application prospects of new technologies [J ] . Space-Integrated-Ground Information Networks , 2021 , 2 ( 4 ): 19 - 26 .

唐斯琪 , 潘志松 , 胡谷雨 , 等 . 智能化卫星互联网运维与管理：现状与机遇 [J ] . 天地一体化信息网络 , 2021 , 2 ( 4 ): 75 - 83 .

TANG S Q , PAN Z S , HU G Y , et al . Intelligent satellite Internet maintenance and management:progress and opportunities [J ] . SpaceIntegrated-Ground Information Networks , 2021 , 2 ( 4 ): 75 - 83 .

孙晨华 . 天基传输网络和天地一体化信息网络发展现状与问题思考 [J ] . 无线电工程 , 2017 , 47 ( 1 ): 1 - 6 .

SUN C H . Research status and problems for space-based transmission network and space-ground integrated information network [J ] . Radio Engineering , 2017 , 47 ( 1 ): 1 - 6 .

MOORE A W , PAPAGIANNAKI K . Toward the accurate identification of network applications [C ] // Passive and Active Network Measurement .[S.l.:s.n. ] , 2005 : 41 - 54 .

KARAGIANNIS T , PAPAGIANNAKI K , FALOUTSOS M . BLINC:multilevel traffic classification in the dark [C ] // Proceedings of the 2005 conference on Applications,technologies,architectures,and protocols for computer communications - SIGCOMM '05 . New York:ACM Press , 2005 : 221 - 227 .

PAN W B , CHENG G , GUO X J , et al . Survey and prospect of network encrypted traffic identification research [J ] . Journal of Communications , 2016 , 37 ( 9 ): 154 - 167 .

ZUEV D , . Traffic classification using a statistical approach [C ] // International Conference on Passive ＆ Active Network Measurement . Berlin:Springer-Verlag , 2005 : 321 - 324 .

JOHN G H , LANGLEY P . Estimating continuous distributions in Bayesian classifiers [C ] // UAI'95:Proceedings of the Eleventh conference on Uncertainty in artificial intelligence .[S.l.:s.n. ] , 1995 : 338 - 345 .

MCGREGOR A , HALL M , LORIER P , et al . Flow clustering using machine learning techniques [C ] // Passive and Active Network Measurement .[S.l.:s.n. ] , 2004 : 32 - 37 .

MA Y L , QIAN Z Y , TAO G C , et al . Machine learning for network traffic identification [J ] . Journal of Beijing University of Posts and Telecommunications , 2009 , 32 ( 1 ): 65 - 68 .

DING R S , LI W M . A hybrid method for service identification of SSL/TLS encrypted traffic [C ] // Proceedings of 2016 2nd IEEE International Conference on Computer and Communications . Piscataway:IEEE Press , 2016 : 250 - 253 .

高璎园 , 王妮炜 , 陆洲 . 卫星互联网星座发展研究与方案构想 [J ] . 中国电子科学研究院学报 , 2019 , 14 ( 8 ): 875 - 881 .

GAO Y Y , WANG N W , LU Z . The development research and construction suggestion of satellite Internet constellations [J ] . Journal of China Academy of Electronics and Information Technology , 2019 , 14 ( 8 ): 875 - 881 .

张更新 , 王运峰 , 丁晓进 , 等 . 卫星互联网若干关键技术研究 [J ] . 通信学报 , 2021 , 42 ( 8 ): 1 - 14 .

ZHANG G X , WANG Y F , DIGN X J , et al . Research on several key technologies of satellite Internet [J ] . Journal on Communications , 2021 , 42 ( 8 ): 1 - 14 .

孙晨华 , 章劲松 , 赵伟松 , 等 . 高低轨宽带卫星通信系统特点对比分析 [J ] . 无线电通信技术 , 2020 , 46 ( 5 ): 505 - 510 .

SUN C H , ZHANG J S , ZHAO W S , et al . Comparative analysis of GEO and LEO broadband satellite communication system [J ] . Radio Communications Technology , 2020 , 46 ( 5 ): 505 - 510 .

陈山枝 . 关于低轨卫星通信的分析及我国的发展建议 [J ] . 电信科学 , 2020 , 36 ( 6 ): 1 - 13 .

CHEN S Z . Analysis of LEO satellite communication and suggestions for its development strategy in China [J ] . Telecommunications Science , 2020 , 36 ( 6 ): 1 - 13 .

朱立东 , 张勇 , 贾高一 . 卫星互联网路由技术现状及展望 [J ] . 通信学报 , 2021 , 42 ( 8 ): 33 - 42 .

ZHU L D , ZHANG Y , JIA G Y . Current status and future prospects of routing technologies for satellite Internet [J ] . Journal on Communications , 2021 , 42 ( 8 ): 33 - 42 .

国晓博 , 任智源 , 程文驰 , 等 . 低轨卫星网络中业务图驱动的星间协作计算方案 [J ] . 天地一体化信息网络 , 2021 , 2 ( 2 ): 35 - 44 .

GUO X B , REN Z Y , CHENG W C , et al . Inter-satellite cooperative computing scheme driven by business graph in LEO satellite network [J ] . Space-Integrated-Ground Information Networks , 2021 , 2 ( 2 ): 35 - 44 .

刘卓夫 , 桑恩方 . 一种新的灰度图像识别方法 [J ] . 声学与电子工程 , 2003 ( 4 ): 6 - 8 .

LIU Z F , SANG E F . A new grayscale image recognition method [J ] . Acoustics and Electrical Engineering , 2003 ( 4 ): 6 - 8 .

卓勤政 . 基于深度学习的网络流量分析研究 [D ] . 南京:南京理工大学 , 2018 .

ZHUO Q Z . Research on network traffic analysis based on deep learning [D ] . Nanjing:Nanjing University of Science and Technology , 2018 .

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