基于WPT的去蜂窝mMIMO系统中无人机轨迹与充放电联合优化方法

王琴; 宁洛函; 张钰瑄; 刘颖; 蔡艳; 赵海涛

doi:10.11959/j.issn.2096-3750.2024.00427

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基于WPT的去蜂窝mMIMO系统中无人机轨迹与充放电联合优化方法

理论与技术 | 更新时间：2025-03-13

- 基于WPT的去蜂窝mMIMO系统中无人机轨迹与充放电联合优化方法
- Joint optimization method for UAV trajectory and charging/discharging in cell-free mMIMO system on WPT
- 物联网学报 2024年8卷第3期页码：26-35
- 作者机构：
  
  1.南京邮电大学通信与信息工程学院，江苏南京 210003
  2.南京邮电大学物联网学院，江苏南京 210003
- 作者简介：
  
  [ "王琴（1988‒ ），女，博士，南京邮电大学副研究员，主要研究方向为低空智联网、资源可信共享、5G/6G资源优化分配等。" ]
  [ "宁洛函（2002‒ ），男，南京邮电大学通信与信息工程学院硕士生，主要研究方向为无人机资源分配、边缘计算、深度学习等。" ]
  [ "张钰瑄（2004‒ ），女，南京邮电大学物联网学院在读，主要研究方向为无线通信、深度学习等。" ]
  [ "刘颖（1999‒ ），女，南京邮电大学通信与信息工程学院硕士生，主要研究方向为空天地一体化中的资源分配等。" ]
  [ "蔡艳（1974‒ ），女，博士，南京邮电大学通信与信息工程学院教授，主要研究方向为无线通信与电磁兼容、移动通信与宽带无线通信技术。" ]
  [ "赵海涛（1983‒ ），男，博士，南京邮电大学物联网学院教授，主要研究方向为物联网、车联网、工业互联网等。" ]
- 基金信息：
  
  江苏省重点研发计划项目（No. ‍BE2022068,No. ‍BE2022068-2）;国家自然科学基金重大研究计划(92367302);江苏省前沿引领技术基础研究专项项目课题（No. ‍BK20212001）;江苏省高等学校基础科学（自然科学）研究重大项目(24KJA510008)
- DOI：10.11959/j.issn.2096-3750.2024.00427
  中图分类号：
- 收稿日期：2024-09-16，
  
  修回日期：2024-09-25，
  
  纸质出版日期：2024-09-10
- 稿件说明：
移动端阅览
王琴,宁洛函,张钰瑄等.基于WPT的去蜂窝mMIMO系统中无人机轨迹与充放电联合优化方法[J].物联网学报,2024,08(03):26-35.

WANG Qin,NING Luohan,ZHANG Yuxuan,et al.Joint optimization method for UAV trajectory and charging/discharging in cell-free mMIMO system on WPT[J].Chinese Journal on Internet of Things,2024,08(03):26-35.
王琴,宁洛函,张钰瑄等.基于WPT的去蜂窝mMIMO系统中无人机轨迹与充放电联合优化方法[J].物联网学报,2024,08(03):26-35. DOI： 10.11959/j.issn.2096-3750.2024.00427.

WANG Qin,NING Luohan,ZHANG Yuxuan,et al.Joint optimization method for UAV trajectory and charging/discharging in cell-free mMIMO system on WPT[J].Chinese Journal on Internet of Things,2024,08(03):26-35. DOI： 10.11959/j.issn.2096-3750.2024.00427.

摘要

在去蜂窝大规模多输入多输出（CF-mMIMO

cell-free massive multiple-input multiple-output）系统中，无人机（UAV

unmanned aerial vehicle）作为移动接入点（AP

access point），在通信和任务执行中发挥的作用越来越重要。为了提高UAV执行复杂任务时的续航能力，研究了基于无线电力传输（WPT

wireless power transmission）的CF-mMIMO的UAV能量收发和轨迹设计方法。以中断用户的通信公平性为优化目标，考虑在UAV任务执行过程中由接入点提供能量补给的能耗约束，对UAV的飞行轨迹、充放电时隙以及波束成形进行联合优化。针对该复杂优化问题，采用基于角度搜索的通信辅助深度Q网络（DQN

deep Q-network）算法，通过限制搜索空间的角度范围，对问题进行有限空间搜索。仿真结果表明，在UAV兼顾续航以及通信情况下，该算法能显著提高UAV的使用率并增强中断用户设备（UE

user equipment）的通信公平性，实现区域动态覆盖。

Abstract

In cell-free massive multiple-input multiple-output (CF-mMIMO) system

unmanned aerial vehicles (UAV)

serving as mobile access point (AP)

are increasingly playing a significant role in both communication and task execution. To enhance the endurance of UAV during complex mission executions

the energy transmission and trajectory design for UAV within a cell-free mMIMO system were explored

utilizing wireless power transmission (WPT) as the foundation. With a focus on maintaining communication fairness for users experiencing outages

energy consumption constraints as UAV receive power replenishments from access points throughout their missions were considered. Simultaneously

a joint optimization encompassing the UAV's flight trajectory

charging/discharging time slots

and beamforming configurations were conducted. To address this complex problem

an angle search-based communication-assisted deep Q-network (DQN) algorithm was proposed

facilitating a targeted spatial exploration. Simulation results demonstrate that

while balancing endurance and communication requirements

this algorithm significantly elevates the utilization rate of UAV and enhances communication fairness for interrupted user equipment (UE)

ultimately achieving dynamic regional coverage.

关键词

Keywords

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