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系留无人机平台搭载的蜂窝通信基站吞吐量优化

罗祎喆 丁文锐 雷耀麟 刘春辉

罗祎喆, 丁文锐, 雷耀麟, 等 . 系留无人机平台搭载的蜂窝通信基站吞吐量优化[J]. 北京航空航天大学学报, 2021, 47(6): 1161-1172. doi: 10.13700/j.bh.1001-5965.2020.0136
引用本文: 罗祎喆, 丁文锐, 雷耀麟, 等 . 系留无人机平台搭载的蜂窝通信基站吞吐量优化[J]. 北京航空航天大学学报, 2021, 47(6): 1161-1172. doi: 10.13700/j.bh.1001-5965.2020.0136
LUO Yizhe, DING Wenrui, LEI Yaolin, et al. Throughput optimization for cellular communication on tethered unmanned aerial vehicle base station[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(6): 1161-1172. doi: 10.13700/j.bh.1001-5965.2020.0136(in Chinese)
Citation: LUO Yizhe, DING Wenrui, LEI Yaolin, et al. Throughput optimization for cellular communication on tethered unmanned aerial vehicle base station[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(6): 1161-1172. doi: 10.13700/j.bh.1001-5965.2020.0136(in Chinese)

系留无人机平台搭载的蜂窝通信基站吞吐量优化

doi: 10.13700/j.bh.1001-5965.2020.0136
基金项目: 

国防科技工业发展规划 JCKY2017601C006

国家重点研发计划 2016YFB0502602

详细信息
    通讯作者:

    丁文锐, E-mail: ding@buaa.edu.cn

  • 中图分类号: V279+.2;TB553

Throughput optimization for cellular communication on tethered unmanned aerial vehicle base station

Funds: 

Defense Industrial Technology Development Program JCKY2017601C006

ional Key R · D Program of China 2016YFB0502602

More Information
  • 摘要:

    考虑多架系留无人机(UAV)空中基站为多小区提供空地双向通信服务时,针对地面用户数目分布不均匀和多机协同服务同频干扰严重的问题,提出了一种联合优化空中基站高度和链路传输方向的吞吐量优化算法。该方法通过使用最大同频链路准则和就近服务准则确定了同频链路配对和无人机/用户配对,通过优化空中基站高度和链路传输方向提升了系统平均吞吐量,并减少了用户间的同频干扰。多种场景下验证结果均显示,所提方法显著优于其他非联合优化的对比方法,当拥塞小区用户数目是非拥塞小区用户数目的1~36倍时,相比于不联合优化链路传输方向和空中基站高度的对比方法,所提方法可提升系统平均吞吐量8倍左右。

     

  • 图 1  小区地面用户分布不均衡场景的空地通信

    Figure 1.  Air-ground communication in the scenario of uneven distribution of ground users in community

    图 2  小区地面用户分布均衡场景的空地通信

    Figure 2.  Air-ground communication in the scenario of average distribution of ground users in community

    图 3  同频链路服务

    Figure 3.  Co-channel service

    图 4  单独链路服务

    Figure 4.  Individual channel service

    图 5  吞吐量优化方法仿真验证场景

    Figure 5.  Simulation and verification scenario for throughput optimization method

    图 6  使用所提吞吐量优化方法的第1次服务

    Figure 6.  First service using proposed throughput optimization method

    图 7  使用所提吞吐量优化方法的第2次服务

    Figure 7.  Second service using proposed throughput optimization method

    图 8  不同拥塞小区用户数目下系统平均吞吐量比较

    Figure 8.  Comparison of system average throughput under different ground user numbers of congested communities

    图 9  不同空中基站最低高度情况下系统平均吞吐量比较

    Figure 9.  Comparison of average throughput at different UAV minimum altitudes

    图 10  不同非直视链路阴影衰落均值情况下系统平均吞吐量比较

    Figure 10.  Comparison of average throughput under different non-direct-looking shadow fading averages

    表  1  多机场景吞吐量优化方法验证的参数设置

    Table  1.   Parameter setting for throughput optimization method verification in multi-UAV scenarios

    参数 取值
    地面用户最大发射功率Pgmax/(dB·m) 20
    空中基站最大发射功率Pumax/(dB·m) 30
    定向天线半波数宽度ΦB π/3
    单位天线增益g0 2.286 4 [18]
    载频fc/GHz 2
    路损指数n 2.5
    空中基站最大高度Hmax/m 400
    空中基站最小高度Hmin/m 50
    空地信道参数α 0.6[15]
    空地信道参数γ 0.11[15]
    噪声功率σNLoS2/(dB·m) -120
    噪声功率σLoS2/(dB·m) -120
    直视链路阴影衰落均值ψLoS/dB 2[15-16]
    非直视链路阴影衰落均值ψNLoS/dB 20[15-16]
    下载: 导出CSV

    表  2  不同方法的吞吐量比较

    Table  2.   Throughput comparison of different methods

    拥塞小区用户数 本文方法 对比方法 吐吞量提升/倍
    1 49.5 6 8.25
    6 21.9 2.7 8.1
    11 16.15 1.8 9.0
    16 12.15 1.4 8.7
    21 9.8 1.1 8.9
    26 8.5 0.9 9.4
    31 7.6 0.9 8.4
    36 7.1 0.8 8.9
    下载: 导出CSV
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出版历程
  • 收稿日期:  2020-04-10
  • 录用日期:  2020-07-03
  • 刊出日期:  2021-06-20

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