空中可重构智能表面辅助的全双工无人机安全通信

罗俊松; 黄平; 罗欣悦; 赖欢; 多滨; 袁晓军

doi:10.11959/j.issn.1000-0801.2024181

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空中可重构智能表面辅助的全双工无人机安全通信

专题：6G智能超表面 | 更新时间：2024-08-14

- 空中可重构智能表面辅助的全双工无人机安全通信
- Aerial reconfigurable intelligent surfaces-assisted full-duplex UAV secure communication
- 电信科学 2024年40卷第7期页码：34-50
- 作者机构：
  
  1.成都理工大学，四川成都 610059
  2.电子科技大学，四川成都 611731
- 作者简介：
  
  [ "罗俊松（1972- ），男，成都理工大学副教授、硕士生导师，主要研究方向为大数据技术、优化理论与强化学习及其应用、智能超表面的前沿基础。" ]
  [ "黄平（2001- ），男，成都理工大学计算机与网络安全学院硕士生，主要研究方向为无人机通信、凸优化理论、机器学习应用。" ]
  [ "罗欣悦（2002- ），女，成都理工大学计算机与网络安全学院硕士生，主要研究方向为无人机通信、机器学习应用、仿真系统。" ]
  [ "赖欢（1998- ），男，成都理工大学计算机与网络安全学院硕士生，主要研究方向为无人机通信、机器学习应用。" ]
  [ "多滨（1982- ），男，博士，成都理工大学教授、硕士生导师，主要研究方向为无人机通信、凸优化理论、机器学习应用。" ]
  [ "袁晓军（1977- ），男，博士，电子科技大学教授、博士生导师，主要研究方向为统计信号处理、机器学习、分布式学习、智能超表面的前沿基础。" ]
- 基金信息：
  
  国家自然科学基金资助项目(62071090);四川省国际科技创新合作/港澳台科技创新合作项目(2023YFH0092)
- DOI：10.11959/j.issn.1000-0801.2024181
  中图分类号： TN929.5
- 收稿日期：2024-05-29，
  
  修回日期：2024-07-08，
  
  纸质出版日期：2024-07-20
- 稿件说明：
移动端阅览
罗俊松,黄平,罗欣悦等.空中可重构智能表面辅助的全双工无人机安全通信[J].电信科学,2024,40(07):34-50.

LUO Junsong,HUANG Ping,LUO Xinyue,et al.Aerial reconfigurable intelligent surfaces-assisted full-duplex UAV secure communication[J].Telecommunications Science,2024,40(07):34-50.
罗俊松,黄平,罗欣悦等.空中可重构智能表面辅助的全双工无人机安全通信[J].电信科学,2024,40(07):34-50. DOI： 10.11959/j.issn.1000-0801.2024181.

LUO Junsong,HUANG Ping,LUO Xinyue,et al.Aerial reconfigurable intelligent surfaces-assisted full-duplex UAV secure communication[J].Telecommunications Science,2024,40(07):34-50. DOI： 10.11959/j.issn.1000-0801.2024181.

摘要

针对传统的可重构智能表面（reconfigurable intelligent surface，RIS，也称智能超表面）在无人机辅助安全通信中存在的灵活性不足和系统安全保障能力不强的问题，以及当前无人机半双工通信系统普遍面临的频谱利用率低和通信效率低的挑战，提出了一种空中可重构智能表面（aerial reconfigurable intelligent surface，ARIS）与全双工无人机的双机协同解决方案，旨在提升面对地面窃听者时的通信安全性和效率。联合优化用户通信调度、传输功率、无人机发送的干扰功率及其飞行轨迹，以及ARIS的相移和轨迹，设计了一个旨在最大化最小平均可达安全速率的优化问题，并提出基于交替优化（alternating optimization，AO）、半定松弛（semi-definite relaxation，SDR）技术和连续凸近似（successive convex approximation，SCA）的迭代算法，以获得高质量的次优解。仿真结果验证了ARIS与全双工无人机结合的双机协作方案在提升通信质量和安全性能方面的有效性，展示了其在复杂安全通信环境下的优越性。

Abstract

In response to the limitations of traditional reconfigurable intelligent surfaces (RIS) in UAV-assisted secure communications

such as insufficient flexibility and inadequate system security

as well as the challenges of low spectral efficiency and poor communication efficiency faced by current half-duplex UAV communication systems

a dual-machine cooperative solution involving aerial reconfigurable intelligent surfaces (ARIS) and full-duplex UAV was proposed

aiming at enhancing communication security and efficiency against ground eavesdroppers. An optimization problem was designed to maximize the minimum average achievable security rate by jointly optimizing user communication scheduling

transmission power

the interference power sent by UAV

their flight trajectories

and the phase shifts and trajectories of ARIS. An iterative algorithm based on alternating optimization (AO)

semi-definite relaxation (SDR) techniques

and successive convex approximation (SCA) was proposed to obtain high-quality suboptimal solutions. Simulation results demonstrate the effectiveness of the ARIS and full-duplex UAV combination in enhancing communication quality and security performance

showcasing its superiority in complex security communication environments.

关键词

Keywords

references

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