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无人机辅助的反向散射通信系统安全容量优化

杨欣欣 朱琦

信号处理2025,Vol.41Issue(4):647-655,9.
信号处理2025,Vol.41Issue(4):647-655,9.DOI:10.12466/xhcl.2025.04.006

无人机辅助的反向散射通信系统安全容量优化

Optimization of the Security Capacity of Unmanned Aerial Vehicle Assisted Backscatter Communication Systems

杨欣欣 1朱琦1

作者信息

  • 1. 南京邮电大学江苏省无线通信重点实验室,江苏 南京 210003||南京邮电大学教育部泛在网络健康服务系统工程研究中心,江苏 南京 210003
  • 折叠

摘要

Abstract

Backscatter communication technology is characterized by low cost and low power consumption,and it exhib-its significant potential for widespread use in large-scale Internet of Things applications.Although Internet of Things sen-sors are widely distributed,some remote areas cannot be covered by mobile networks.Introducing unmanned aerial ve-hicle(UAV)into wireless networks can enhance network coverage performance and increase spectrum utilization.How-ever,wireless communication signals are easily eavesdropped on,which raises concerns regarding the potential leakage of user information.This study proposes a joint optimization algorithm for energy harvesting and backscatter communi-cation security capacity to address the security issues associated with UAV-assisted backscatter communication systems.Under the constraints of the energy and security performance for backscatter communication,an optimization problem was constructed to maximize the minimum backscatter security capacity.As this optimization problem is non-convex,this study employed the block coordinate descent(BCD)global iterative algorithm to solve it,decomposing the original optimization problem into three optimization sub-problems.Linear programming was utilized to solve the time allocation sub-problem.For the non-convex UAV trajectory optimization sub-problem,the sub-problem was first simplified by sub-stituting the variable and then solved using successive convex approximation(SCA).Solving the non-convex ground user scheduling sub-problem necessitated the application of the branch and bound method as the optimization variables to be solved were integer variables.Finally,the global optimal solutions for time allocation,UAV trajectory,and ground backscatter equipment scheduling were obtained via global iteration.The simulation results demonstrated that the algorithm proposed in this study has good convergence.Compared with the other two reference algorithms listed,the algorithm pro-posed in this study had better performance and could effectively improve the security capacity of the system.

关键词

反向散射通信/无人机/安全容量/能量采集

Key words

backscatter communication/unmanned aerial vehicle/security capacity/energy harvesting

分类

信息技术与安全科学

引用本文复制引用

杨欣欣,朱琦..无人机辅助的反向散射通信系统安全容量优化[J].信号处理,2025,41(4):647-655,9.

基金项目

国家自然科学基金(92367302) (92367302)

江苏省重点研发计划(BE2022068-2)The National Natural Science Foundation of China(92367302) (BE2022068-2)

Jiangsu Provincial Key and Development Program(BE2022068-2) (BE2022068-2)

信号处理

OA北大核心

1003-0530

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