通信学报 ›› 2014, Vol. 35 ›› Issue (10): 23-30.doi: 10.3969/j.issn.1000-436x.2014.10.004

• 论文Ⅰ 空间信息传输网络 • 上一篇    下一篇

卫星通信系统中功率与时隙资源联合分配算法

韩寒1,2,李颖2,董旭3,国晓博4,黄勤飞5   

  1. 1 解放军理工大学 通信工程学院,江苏 南京 210007
    2 中国电子设备系统工程公司,北京 100141
    3 解放军西安通信学院,陕西 西安 710000
    4 中国电子科技集团第54研究所,河北 石家庄 050081
    5 北京首都公路发展集团,北京 100073
  • 出版日期:2014-10-25 发布日期:2017-06-14
  • 基金资助:
    中国博士后科学基金资助;国家高技术发展计划(“863”计划)基金资助项目;国家高技术发展计划(“863”计划)基金资助项目;国家自然科学基金重点基金资助项目;国家自然科学基金重点基金资助项目

Algorithm on joint optimization of power allocation and slot allocation in satellite communication systems

Han HAN1,2,Ying LI2,Xu DONG3,Xiao-bo GUO4,Qin-fei HUANG5   

  1. 1 College of Communication Engineering,PLA UST,Nanjing 210007,China
    2 Institute of China Electronic System Engineering Corporation,Beijing 100141,China
    3 Xi'an Communication Institute,PLA,Xi'an 710000,China
    4 No.54 Research Institute of CETC,Shijiazhuang 050081,China
    5 Beijing Capital Highnag Development Group Co.,Ltd.,Beijing 100073,China
  • Online:2014-10-25 Published:2017-06-14
  • Supported by:
    China Postdoctoral Science Foundation Funded Project;The National High Technology Research and Development Program of China(863 Program);The National High Technology Research and Development Program of China(863 Program)

摘要:

提出联合优化卫星通信系统中的功率和时隙资源的方法,以提高星上有限资源的使用能效。挖掘了功率和时隙资源在容量提升上的相互补充相互依存关系,考虑了多个地球站的信道条件和容量需求的差异性,建立了资源联合分配的状态组合模型,以适应各地球站的多资源利用模式。并以最大化能效为目标,设计了联合分配的迭代对偶优化(IDO)算法,以较低复杂度获得了最优联合分配方案。仿真分析表明,资源联合优化比非联合优化提高了能量利用效率,尤其在频率资源(载波数目)较少时优势更加明显。

关键词: 卫星通信, 功率分配, MF-TDMA, 时隙分配, 联合优化

Abstract:

An algorithm to jointly optimize the power allocation and the slot allocation in order to improve the utilization efficiency of the limited resources on the satellite was proposed.The basic principles of the mutual compensation and mutual independence between these two resources are explored to pave the way for joint optimization.Considering the differences about each station’s channel condition and capacity requirement,a state-combination model for optimally allocating the resources is setted up,so as to adapt the multi-resource usage pattern with each earth station.Targeting at the energy efficiency,an iterative dual optimization algorithm is proposed,and the final optimal policy for resource allocation with low complexity is obtained.With the simulation and analysis,the proposed joint optimization is verified to perform better than the non-joint ones in the perspective of the energy efficiency,especially when the frequency resource (the carrier number) is less.

Key words: satellite communication, power allocation, MF-TDMA, slot allocation, joint optimization

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