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    邓娜

    • 副教授       硕士生导师
    • 性别:女
    • 毕业院校:中国科学技术大学
    • 学位:博士
    • 所在单位:信息与通信工程学院
    • 电子邮箱:dengna@dlut.edu.cn

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    A Hierarchical Approach to Resource Allocation in Extensible Multi-Layer LEO-MSS

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    论文类型:期刊论文

    第一作者:Li, Yitao

    通讯作者:Zhou, WY (reprint author), Univ Sci & Technol China, Dept Elect Engn & Informat Sci, Hefei 230026, Peoples R China.

    合写作者:Deng, Na,Zhou, Wuyang

    发表时间:2020-01-01

    发表刊物:IEEE ACCESS

    收录刊物:EI、SCIE

    卷号:8

    页面范围:18522-18537

    ISSN号:2169-3536

    关键字:Radio resource allocation; multi-beam satellite; multi-layer satellite network; LEO mobile satellite system; space-air-ground integrated network

    摘要:Low earth orbit mobile satellite system (LEO-MSS) is the major system to provide communication support for mobile terminals beyond the coverage of terrestrial communication systems. However, the quick movement of LEO satellites and current single-layer system architecture impose restrictions on the capability to provide satisfactory service quality, especially for the remote and non-land regions with high traffic requirement. To tackle this problem, high-altitude platforms (HAPs) and terrestrial relays (TRs) are introduced to cover hot-spot regions, and the current single-layer system becomes an LEO-HAP multi-layer access network. Under this setup, we propose a hierarchical resource allocation approach to circumvent the complex management caused by the intricate relationships among different layers. Specifically, to maximize the throughputs, we propose a dynamic multi-beam joint resource optimization method in LEO-ground downlinks based on the predicted movement of LEO satellites. Afterwards, we propose the dynamic resource optimization method of HAP-ground downlinks when LEO satellites and HAPs share the same spectrum. To solve these problems, we use the Lagrange dual method and Karush-Kuhn-Tucker (KKT) conditions to find the optimal solutions. Numerical results show that the proposed architecture outperforms current LEO-MSS in terms of average capacity. In addition, the proposed optimization methods increase the throughputs of LEO-ground downlinks and HAP-ground downlinks with an acceptable complexity.