【作者】 章璋；

【导师】 姜晓鸿； 管洪清；

【作者基本信息】 西安电子科技大学 ， 电子信息硕士（专业学位）， 2023， 硕士

【摘要】 无人机网络作为无线通信网络的一种重要形态,具有高度机动性、灵活部署性和强大的覆盖能力,可以有效解决传统通信中地面基站部署成本高昂、地形因素局限等问题,在应急救援、物资保障等场景发挥着重要作用。相比于单个无人机有限的通信覆盖范围,多无人机协同执行覆盖任务可以为更大范围和更多地面终端用户提供通信服务。为保证向目标区域提供最佳的覆盖效果,多架无人机需要进行合理的位置部署规划以避免覆盖区域重叠或产生任务盲区。此外,无人机的续航能力通常有限,在位置部署过程中需要优化能源消耗成本,为覆盖区域提供高效、可靠的通信覆盖服务。在多无人机自身带宽和信号传输能力受限的条件下,如何设计多无人机协同覆盖位置部署方法满足复杂无人机通信场景差异化通信需求,并实现网络能效最大化,成为亟待解决的关键问题。本文聚焦于多无人机协同通信覆盖任务中的位置部署策略研究,具体工作如下:针对多无人机协同覆盖位置部署中无人机能源受限,难以提供长续航通信覆盖服务的问题,提出最大化能效的多无人机协同覆盖位置部署方法。本文通过对无人机通信性能、无人机网络架构、多无人机位置部署策略进行分析,建立了多无人机协同覆盖任务系统模型,量化多无人机协同部署网络能效;设计了基于多无人机协同覆盖的潜在博弈模型,对目标区域用户进行聚类分析,提出基于潜在博弈的高能效位置部署算法;仿真结果表明,本文提出的多无人机协同覆盖位置部署方法可以在满足目标区域覆盖任务的前提下,有效改善无人机网络能效。针对多无人机协同覆盖位置部署中各无人机所覆盖的地面终端用户规模不同而产生的差异化任务需求,提出面向差异化通信需求的多无人机协同覆盖位置部署方法。本文建立了多无人机中继网络覆盖模型,量化了传输速率、能量消耗以及网络能效指标;引入网络形成博弈模型,量化无人机通信资源需求优先级,设计了面向差异化通信需求的路由选择算法;并将位置部署与路由选择联合优化,提出基于传输需求的位置部署算法;仿真结果表明,所提路由选择算法可以在满足网络能效基础上进行多无人机差异化通信资源分配,所提基于传输需求的位置部署算法可以满足覆盖任务区差异化通信资源需求。本文所提出的两种多无人机协同覆盖任务的位置部署算法,提升无人机通信覆盖任务的部署能效和通信服务质量,兼顾了通信覆盖效果以及系统能耗,对于推动无人机通信覆盖研究和应用具有一定的理论和实际意义。更多还原

【Abstract】 As an important form of wireless communication network,UAV network has high mobility,flexible deployment and strong coverage capability.It can effectively solve the problems of high deployment cost of ground base stations and limited terrain factors in traditional communication.It is used in emergency rescue,scenarios such as material security play an important role.Compared with the limited communication coverage of a single UAV,the cooperative execution of coverage tasks by multiple UAVs can provide communication services for a wider range and more ground end users.In order to ensure the best coverage effect for the target area,multiple UAVs need to carry out reasonable location deployment planning to avoid overlapping coverage areas or creating mission blind spots.In addition,the endurance of drones is usually limited,and energy consumption costs need to be optimized during location deployment to provide efficient and reliable communication coverage services for the coverage area.Under the condition that the multi-UAV’s own bandwidth and signal transmission capability are limited,how to design a multi-UAV cooperative coverage location deployment method to meet the differentiated communication needs of complex UAV communication scenarios and maximize network energy efficiency has become an urgent problem to be solved key issues.This thesis focuses on the research on the location deployment strategy in multi-UAV cooperative communication coverage tasks.The specific work is as follows:Aiming at the problem that the energy of UAVs is limited in the deployment of multi-UAV cooperative coverage locations,it is difficult to provide long-endurance communication coverage services.A multi-UAV cooperative coverage location deployment method that maximizes energy efficiency is proposed.In this thesis,through the analysis of UAV communication performance,UAV network architecture,and multi-UAV position deployment strategy,a multi-UAV cooperative coverage task system model is established to quantify the energy efficiency of multi-UAV cooperative deployment network? a design based on The potential game model of multi-UAV cooperative coverage is clustered and analyzed for users in the target area,and an energy-efficient location deployment algorithm based on potential game is proposed? the simulation results show that the multi-UAV cooperative coverage location deployment method proposed in this thesis can meet the requirements of Under the premise of covering the task in the target area,the energy efficiency of the UAV network can be effectively improved.Aiming at the differentiated task requirements caused by the different scales of ground terminal users covered by each UAV in the multi-UAV cooperative coverage location deployment,a multi-UAV cooperative coverage location deployment method for differentiated communication requirements is proposed.This thesis establishes a multi-UAV relay network coverage model,quantifies the transmission rate,energy consumption,and network energy efficiency indicators? introduces a network formation game model,quantifies the priority of UAV communication resource requirements,and designs a route for differentiated communication requirements The algorithm is selected? and the location deployment and routing selection are jointly optimized,and a location deployment algorithm based on transmission requirements is proposed? the simulation results show that the proposed routing selection algorithm can allocate multi-UAV differentiated communication resources on the basis of meeting the network energy efficiency.The location deployment algorithm based on transmission requirements can meet the needs of differentiated communication resources in the coverage mission area.The two position deployment algorithms for multi-UAV cooperative coverage tasks proposed in this thesis can improve the deployment energy efficiency and communication service quality of UAV communication coverage tasks,and take into account the communication coverage effect and system energy consumption.Research and application have certain theoretical and practical significance.更多还原