Advanced Search
Volume 45 Issue 2
Feb.  2023
Turn off MathJax
Article Contents
LIANG Chengchao, DUAN Ruiji, MA Shiqing, TANG Lun, CHEN Qianbin. Joint Beam Hopping Scheduling and Power Allocation of LEO Satellites Oriented Energy Efficiency[J]. Journal of Electronics & Information Technology, 2023, 45(2): 436-445. doi: 10.11999/JEIT220392
Citation: LIANG Chengchao, DUAN Ruiji, MA Shiqing, TANG Lun, CHEN Qianbin. Joint Beam Hopping Scheduling and Power Allocation of LEO Satellites Oriented Energy Efficiency[J]. Journal of Electronics & Information Technology, 2023, 45(2): 436-445. doi: 10.11999/JEIT220392

Joint Beam Hopping Scheduling and Power Allocation of LEO Satellites Oriented Energy Efficiency

doi: 10.11999/JEIT220392
Funds:  135 Civil Aerospace Technology Advance Research Project (D030301), The National Natural Science Foundation of China (62001076, 62071078)
  • Received Date: 2022-04-02
  • Rev Recd Date: 2022-11-14
  • Available Online: 2022-11-15
  • Publish Date: 2023-02-07
  • In Low Earth Orbit (LEO) satellite networks, the capacity of satellite payload is limited strictly, and onboard power resource is extremely scarce. Thus, a joint Beam Hopping (BH) scheduling and power allocation scheme is proposed to reduce onboard power resources consumption for the LEO system with BH antennas, while meeting quality of service requirements of users, so that the energy efficiency of the satellite communication system can be improved. Firstly, the joint beam scheduling and power allocation problem with delay constraints is formulated to minimize the power consumption of the satellite system. Considering the time-varying topological characteristics of the system, the original multi-slot optimization problem is transformed into a single-slot optimization problem based on the Lyapunov optimization method, and then the alternate optimization method is employed to obtain the sub-optimal solution of the single-slot problem. Specifically, the beam scheduling subproblem is proved to be convex, the power distribution subproblem is transformed into convex by successive convex approximation and logarithmic transformation, and the corresponding algorithm is proposed to obtain the optimal solution of the subproblems. Simulation results show that the proposed scheme can reduce the onboard power consumption of the satellite while ensuring the average time delay requirement of the users, and the dynamic balance of the delay and the power consumption can be achieved by adjusting the control parameter.
  • loading
  • [1]
    徐晖, 孙韶辉. 面向6G的天地一体化信息网络架构研究[J]. 天地一体化信息网络, 2021, 2(4): 2–9. doi: 10.11959/j.issn.2096-8930.2021037

    XU Hui and SUN Shaohui. Research on network architecture for the space-integrated-ground information network in 6G[J]. Space-Integrated-Ground Information Networks, 2021, 2(4): 2–9. doi: 10.11959/j.issn.2096-8930.2021037
    [2]
    KODHELI O, LAGUNAS E, MATURO N, et al. Satellite communications in the new space era: A survey and future challenges[J]. IEEE Communications Surveys & Tutorials, 2021, 23(1): 70–109. doi: 10.1109/COMST.2020.3028247
    [3]
    SU Yongtao, LIU Yaoqi, ZHOU Yiqing, et al. Broadband LEO satellite communications: Architectures and key technologies[J]. IEEE Wireless Communications, 2019, 26(2): 55–61. doi: 10.1109/MWC.2019.1800299
    [4]
    WANG Yaxin, BIAN Dongming, HU Jing, et al. A flexible resource allocation algorithm in full bandwidth beam hopping satellite systems[C]. 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC), Chongqing, China, 2019: 920–927.
    [5]
    TANG Jingyu, BIAN Dongming, LI Guangxia, et al. Optimization method of dynamic beam position for LEO beam-hopping satellite communication systems[J]. IEEE Access, 2021, 9: 57578–57588. doi: 10.1109/ACCESS.2021.3072104
    [6]
    ANZALCHI J, COUCHMAN A, GABELLINI P, et al. Beam hopping in multi-beam broadband satellite systems: System simulation and performance comparison with non-hopped system[C]. 2010 5th Advanced Satellite Multimedia Systems Conference and the 11th Signal Processing for Space Communications Workshop, Cagliari, Italy, 2010: 248–255.
    [7]
    ANGELETTI P, PRIM D F, and RINALDO R. Beam hopping in multi-beam broadband satellite systems: System performance and payload architecture analysis[C]. Proceedings of the 24th AIAA International Communications Satellite Systems Conference (ICSSC), San Diego, USA, 2006: 1–11.
    [8]
    WANG Anyue, LEI Lei, LAGUNAS E, et al. Joint beam-hopping scheduling and power allocation in NOMA-assisted satellite system[C]. 2021 IEEE Wireless Communications and Networking Conference (WCNC), Nanjing, China, 2021: 1–6.
    [9]
    WANG Libing, HU Xin, MA Shijun, et al. Dynamic beam hopping of multi-beam satellite based on genetic algorithm[C]. 2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), Exeter, UK, 2020: 1364–1370.
    [10]
    HU Xin, ZHANG Yuchen, LIAO Xianglai, et al. Dynamic beam hopping method based on multi-objective deep reinforcement learning for next generation satellite broadband systems[J]. IEEE Transactions on Broadcasting, 2020, 66(3): 630–646. doi: 10.1109/TBC.2019.2960940
    [11]
    MA Yuanyuan, LV Tiejun, ZHANG Xuewei, et al. High energy efficiency transmission in MIMO satellite communications[C]. 2018 IEEE International Conference on Communications (ICC), Kansas City, USA, 2018: 1–6.
    [12]
    SHARMA S K, CHATZINOTAS S, and OTTERSTEN B. Cognitive beamhopping for spectral coexistence of multibeam satellites[C]. 2013 Future Network & Mobile Summit, Lisboa, Portugal, 2013: 1–10.
    [13]
    ZHOU Zhenyu, GUO Yufei, HE Yanhua, et al. Access control and resource allocation for M2M communications in industrial automation[J]. IEEE Transactions on Industrial Informatics, 2019, 15(5): 3093–3103. doi: 10.1109/TII.2019.2903100
    [14]
    BEA J, LEE J, and CHONG S. Learning to schedule network resources throughput and delay optimally using Q+-learning[J]. IEEE/ACM Transactions on Networking, 2021, 29(2): 750–763. doi: 10.1109/TNET.2021.3051663
    [15]
    YANG Heng, WEI Zhiqing, FENG Zhiyong, et al. Queue-aware dynamic resource allocation for the joint communication-radar system[J]. IEEE Transactions on Vehicular Technology, 2021, 70(1): 754–767. doi: 10.1109/TVT.2020.3042551
    [16]
    BOYD S, VANDENBERGHE L, 王书宁, 许鋆, 黄晓霖, 译. 凸优化[M]. 北京: 清华大学出版社, 2013: 73–85, 233–241, 550–555, 580–587.

    BOYD S, VANDENBERGHE L, WANG Shuning, XU Yun, HUANG Xiaolin translation. Convex Optimization[M]. Beijing: Tsinghua University Press, 2013: 73–85, 233–241, 550–555, 580–587.
    [17]
    TIAN Feng, HUANG Liling, LIANG Guang, et al. An efficient resource allocation mechanism for beam-hopping based LEO satellite communication system[C]. 2019 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), Jeju, Korea (South), 2019: 1–5.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(4)  / Tables(2)

    Article Metrics

    Article views (1288) PDF downloads(214) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return