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无人机通信中的资源分配及部署位置联合优化

张先玉 陈勇 张余 杨华

张先玉, 陈勇, 张余, 杨华. 无人机通信中的资源分配及部署位置联合优化[J]. 西南交通大学学报. doi: 10.3969/j.issn.0258-2724.20230400
引用本文: 张先玉, 陈勇, 张余, 杨华. 无人机通信中的资源分配及部署位置联合优化[J]. 西南交通大学学报. doi: 10.3969/j.issn.0258-2724.20230400
ZHANG Xianyu, CHEN Yong, ZHANG Yu, YANG Hua. Integrated Communication Resource Allocation and UAV Placement Optimization in UAV-Enabled Wireless Network[J]. Journal of Southwest Jiaotong University. doi: 10.3969/j.issn.0258-2724.20230400
Citation: ZHANG Xianyu, CHEN Yong, ZHANG Yu, YANG Hua. Integrated Communication Resource Allocation and UAV Placement Optimization in UAV-Enabled Wireless Network[J]. Journal of Southwest Jiaotong University. doi: 10.3969/j.issn.0258-2724.20230400

无人机通信中的资源分配及部署位置联合优化

doi: 10.3969/j.issn.0258-2724.20230400
基金项目: 中国博士后科学基金 (2021MD703980)
详细信息
    作者简介:

    张先玉(1986—),男,高级工程师,博士,研究方向为下一代移动通信技术、电磁频谱管理、通信抗干扰等,E-mail:zhangxy_sat@126.com

    通讯作者:

    陈勇(1975—),男,研究员,博士研究生,研究方向为电磁频谱管理、无线通信技术等,E-mail:chy63s@126.com

  • 中图分类号: TN929.53

Integrated Communication Resource Allocation and UAV Placement Optimization in UAV-Enabled Wireless Network

  • 摘要:

    为提升基于正交频分多址接入模式无人机辅助无线通信系统的网络性能,首先,以提升用户的公平性为系统方案设计指标,将包括子信道分配、调制模式选择、功率分配等通信资源和无人机位置联合建模为一个混合整数非线性优化问题;进一步,利用迭代优化的方式解决变量耦合性及非凸性等问题,将最大-最小问题转换为两个子问题:子信道分配和调制方式选择联合优化、无人机位置和子信道功率联合优化;然后,通过适当变换将子信道分配和调制方式选择联合优化建模为0-1线性优化问题进行求解,而无人机位置和子信道功率联合优化建模为凸优化问题求解;最后,进行实验仿真验证. 研究结果表明,所提联合优化算法相比基本方案可有效提升网络用户的公平性.

     

  • 图 1  所考虑的无人机通信系统模型示意

    Figure 1.  System model of the considered UAV-enabled wireless communication network

    图 2  资源分配及无人机位置联合优化算法流程

    Figure 2.  The proposed joint resource allocation and UAV placement algorithm

    图 3  网络节点部署位置示意

    Figure 3.  Placement of the network nodes

    图 4  无人机各子信道的优化分配情况

    Figure 4.  Subchannel allocation with proposed scheme

    图 5  调制方式选择

    Figure 5.  Modulation mode selection schemes

    图 7  用户获取速率

    Figure 7.  Comparison of the achievable user rates

    图 6  功率分配方案

    Figure 6.  Power allocation schemes

    图 8  不同误码率及发射功率下用户最小信息速率

    Figure 8.  Comparison of the achievable user rates with different BER requirements and transmit power constraint

    图 9  不同无人机高度下的用户最小获取信息速率

    Figure 9.  Comparison of the achievable minimum rates under different UAV heights

    表  1  部分关键系统仿真参数列表

    Table  1.   Parameters for the simulation

    参数 数值
    $ M $/个 20
    $ H $/m 100
    $ N $/个 100
    $ B $/MHz 10
    $ {\beta _0} $/dB −50
    $ \delta _0^2 $/(dBm·Hz−1) −169
    $ P_{\max }^e $ $ {10^{ - 4}} $
    $ {P_{\mathrm{T}}} $/dBmW 22
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出版历程
  • 收稿日期:  2023-08-15
  • 修回日期:  2023-11-04
  • 网络出版日期:  2024-05-29

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