高低轨卫星异构网络资源管控策略与技术研究

doi:10.11959/j.issn.2096-8930.2021045

天地一体化信息网络 ›› 2021, Vol. 2 ›› Issue (4): 67-74.doi: 10.11959/j.issn.2096-8930.2021045

所属专题：专题：卫星互联网运行控制与管理

• 专题：卫星互联网运行控制与管理 • 上一篇下一篇

高低轨卫星异构网络资源管控策略与技术研究

张美蓉¹, 镐梦婷¹, 王闯², 张更新¹

¹ 南京邮电大学通信与信息工程学院，江苏南京 210003
² 解放军某部，212000

修回日期:2021-10-21 出版日期:2021-12-20 发布日期:2021-12-01
作者简介:张美蓉（1999-），女，南京邮电大学通信与信息工程学院硕士生，主要研究方向为卫星通信、空间信息网络等
镐梦婷（1997-），女，南京邮电大学通信与信息工程学院硕士生，主要研究方向为卫星通信、空间信息网络等
王闯（1991-），男，博士，主要研究方向为卫星通信、无线通信
张更新（1967-），男，南京邮电大学通信与信息工程学院教授，主要研究方向为空间信息网络、卫星通信等
基金资助:
国家自然科学基金资助项目(91738201)

Research on Strategies and Technologies for Resource Management and Control of Heterogeneous Network of High and Low Orbit Satellites

Meirong ZHANG¹, Mengting HAO¹, Chuang WANG², Gengxin ZHANG¹

¹ College of Telecommunications＆Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
² A Certain Department of PLA, 212000, China

Revised:2021-10-21 Online:2021-12-20 Published:2021-12-01
Supported by:
The National Natural Science Foundation of China(91738201)

摘要/Abstract

摘要：

随着空间通信技术蓬勃发展，天地一体化信息网络不断推进，卫星通信网络资源管控愈发复杂。由于卫星资源稀缺、资源调度滞后于资源状态信息更新、业务不均匀分布等限制因素，如何进行高效资源管控成为卫星通信发展中亟待解决的问题之一。针对高低轨卫星异构网络系统架构，分析其网络资源管控面临的挑战。在综合分析传统管控架构的基础上，总结出基于分组管理的协同管控架构；针对卫星资源稀缺且分散的现状，阐述卫星网络虚拟资源池管理策略；引入基于深度强化学习的资源调度算法，解决传统调度方法在复杂环境下的失配问题；采用跳波束技术应对业务分布时空二维不均问题。

关键词: 异构网络, 资源管控, 虚拟资源池, 深度强化学习, 跳波束技术

Abstract:

With the vigorous development of space communication technology and the continuous advancement of space-integrated-ground information network, satellite communication networks resource management and control is becoming more and more complex.Due to the scarcity of satellite resources, the slowness of resource scheduling compared to the status refreshing, and uneven distribution of business, eff ciently managing resources has become one of urgent problems to be solved in the development of satellite communications.In view of the heterogeneous network system architecture of high and low orbit satellites, the challenges, its network resource management and control facing, were analyzed.Integrating on the basis of traditional management and control architecture, the collaborative management and control architecture based on group management was introduced.The management strategy of satellite network virtual resource pool was explained to relieved resources scarcity.Resource scheduling algorithms based on deep reinforcement learning(DRL) was introduced to solved the mismatch problem of traditional scheduling methods in complex environments.Beam-hopping technology was adopted to deal with the two-dimensional unevenness of service distribution in time and space.

Key words: heterogeneous network, resource management and control, virtual resource pool, deep reinforcement learning, beam-hopping technology

中图分类号:

TP393

张美蓉, 镐梦婷, 王闯, 张更新. 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.

Meirong ZHANG, Mengting HAO, Chuang WANG, Gengxin ZHANG. Research on Strategies and Technologies for Resource Management and Control of Heterogeneous Network of High and Low Orbit Satellites[J]. Space-Integrated-Ground Information Networks, 2021, 2(4): 67-74.

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参考文献 22

[1]	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.
[2]	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.
[3]	崔高峰, 李鹏绪, 张尚宏 ,等. 天地一体化信息网络中卫星通信关键技术初探[J]. 电信网技术, 2017(10): 1-6.
	CUI G F , LI P X , ZHANG S H ,et al. Investigation on key technologies of satellite communication for integrated spaceterrestrial information networks[J]. Telecommunications Network Technology, 2017(10): 1-6.
[4]	胡志言, 杜学绘, 曹利峰 . 软件定义天地一体化网络接入认证架构与方法[J]. 计算机应用研究, 2019,36(3): 873-877.
	HU Z Y , DU X H , CAO L F . One access authentication architecture and method for software defined space-ground integration network[J]. Application Research of Computers, 2019,36(3): 873877.
[5]	闫富朝, 刘怡良, 韩帅 ,等. 空天地通信网络中物理层安全技术综述[J]. 电信科学, 2020,36(9): 1-13.
	YAN F C , LIU Y L , HAN S ,et al. A survey of physical layer security in space-air-ground communication and networks[J]. Telecommunications Science, 2020,36(9): 1-13.
[6]	任伟龙, 张霄, 姚艳军 ,等. 天地一体化信息网络星地协同管理架构设计[J]. 通讯世界, 2020,27(5): 21-22.
	REN W L , ZHANG X , YAO Y J ,et al. Design of space-ground integrated information network satellite-ground collaborative management architecture[J]. Telecom World, 2020,27(5): 21-22.
[7]	BAO J Z , ZHAO B K , YU W R ,et al. Open SAN:a softwaredefined satellite network architecture[J]. ACM SIGCOMM Computer Communication Review, 2014,44(4): 347-348.
[8]	KATO N , FADLULLAH Z M , TANG F X ,et al. Optimizing space-air-ground integrated networks by artificial intelligence[J]. IEEE Wireless Communications, 2019,26(4): 140-147.
[9]	翟伟亭 . 卫星网络虚拟化资源管理技术研究[D]. 西安:西安电子科技大学, 2019.
	ZHAI W T . Research on virtualization resource management technology of satellite network[D]. Xi'an:Xidian University, 2019.
[10]	陈丹阳 . 天地一体化网络多维虚拟资源管理[D]. 西安:西安电子科技大学, 2020.
	CHEN D Y . Multi-dimensional virtual resource management in satellite-terrestrial network[D]. Xi'an:Xidian University, 2020.
[11]	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 SystemFull text replacement[J]. Space-Integrated-Ground Information Networks, 2020,1(1): 26-35.
[12]	QU Z C , CAO H T , CHENG Y F ,et al. A LoRa WAN-based network architecture for LEO satellite Internet of Things[C]// Proceedings of 2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW). Piscataway:IEEE Press, 2019.
[13]	赵瑾 . 天地一体化网络虚拟化资源管理技术研究[D]. 西安:西安电子科技大学, 2020.
	ZHAO J . Research on virtualized resource management technology of space-ground integrated network[D]. Xi'an:Xidian University, 2020.
[14]	朱洪涛, 郭庆 . 面向低轨卫星网络的动态虚拟化分布式移动性管理方法研究[J]. 天地一体化信息网络, 2020,1(1): 78-84.
	ZHU H T , GUO Q . Research on dynamic virtualization distributed mobility management method for LEO satellite Network[J]. SpaceIntegrated-Ground Information Networks, 2020,1(1): 78-84.
[15]	吴漪菡 . 多目标无线网络跨层资源智能分配方法仿真[J]. 计算机仿真, 2019,36(2): 271-274.
	WU Y H . Simulation of cross-layer resource intelligent allocation for multi-objective wireless Network[J]. Computer Simulation, 2019,36(2): 271-274.
[16]	万仁卓, 王思源, 冯绎铭 ,等. 基于二连杆任务的深度强化学习算法分析与比较[J]. 湖北科技学院学报, 2019,39(3): 151-156.
	WAN R Z , WANG S Y , FENG Y M ,et al. Analysis and comparison of reinforced deep learning algorithm based on two-link Task[J]. Journal of Hubei University of Science and Technology, 2019,39(3): 151-156.
[17]	王月平, 徐涛 . 基于演化博弈的用户接入机制[J]. 计算机应用, 2020,40(5): 1392-1396.
	WANG Y P , XU T . User association mechanism based on evolutionary game[J]. Journal of Computer Applications, 2020,40(5): 1392-1396.
[18]	LIU S J , HU X , WANG W D . Deep reinforcement learning based dynamic channel allocation algorithm in multibeam satellite systems[J]. IEEE Access, 2018,6: 15733-15742.
[19]	王亚昕, 边东明, 胡婧 ,等. 基于分簇的全带宽跳波束图案优化方法[J]. 计算机工程, 2020,46(4): 169-176.
	WANG Y X , BIAN D M , HU J ,et al. Optimization method for full bandwidth beam hopping pattern based on Clustering[J]. Computer Engineering, 2020,46(4): 169-176.
[20]	张晨, 彭明阳, 张更新 . 基于联合优化的高通量卫星跳波束图案设计研究[J]. 南京邮电大学学报(自然科学版), 2021(3): 1-8.
	ZHANG C , PENG M Y , ZHANG G X . Beam hopping pattern method for high-throughput satellite based on joint optimization[J]. Journal of Nanjing University of Posts and Telecommunications (Natural Science Edition), 2021(3): 1-8.
[21]	唐璟宇, 李广侠, 边东明 ,等. 卫星跳波束资源分配综述[J]. 移动通信, 2019,43(5): 21-26.
	TANG J Y , LI G X , BIAN D M ,et al. Review on resource allocation for beam-hopping Satellite[J]. Mobile Communications, 2019,43(5): 21-26.
[22]	WANG C , BIAN D M , ZHANG G X ,et al. A novel dynamic spectrum-sharing method for integrated wireless multimedia sensors and cognitive satellite networks[J]. Sensors, 2018,18(11): 3904.

高低轨卫星异构网络资源管控策略与技术研究

Research on Strategies and Technologies for Resource Management and Control of Heterogeneous Network of High and Low Orbit Satellites

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