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

• 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. 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. 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:

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: 

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