| 基于智能反射面辅助的无人机中继系统安全通信方法 |
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| 引用本文： | 卢为党,曹明锋,高原,曹江,花俏枝,李博,赵楠.基于智能反射面辅助的无人机中继系统安全通信方法[J].电子与信息学报,2022,44(7):2273-2280. |
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| 作者姓名： | 卢为党 曹明锋 高原 曹江 花俏枝 李博 赵楠 |
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| 作者单位： | 1.浙江工业大学信息工程学院 杭州 3100232.中国人民解放军军事科学院战争研究院 北京 1000913.湖北文理学院计算机工程学院 襄阳 4410534.哈尔滨工业大学(威海)科学与工程学院 威海 2642095.大连理工大学信息与通信工程学院 大连 116024 |
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| 基金项目： | 国家自然科学基金(61871348), 湖北省自然科学基金(2021CFB156), 广东省空天通信与网络技术重点实验室开放课题(2018B030322004) |
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| 摘 要： | 为了提高无人机中继系统的安全通信性能，解决无线信道受障碍物遮挡问题，该文提出一种基于智能反射面(IRS)辅助的无人机(UAV)中继系统安全通信方法。在所提方法中，通过联合优化UAV的位置、基站波束成形和IRS相移，最大化系统的最小保密速率。为了解决这个复杂的非凸优化问题，该文将原问题分解为UAV位置优化子问题、波束成形和IRS相移优化两个子问题。使用1阶泰勒展开处理优化问题中的非凸项，然后提出一种交替优化的算法进行求解。仿真结果表明该文提出的算法能提高系统的最小保密速率，并且具有良好的收敛性。
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| 关 键 词： | 无人机 智能反射面 安全通信 波束成形 |
| 收稿时间： | 2021-11-30 |
Secure Communication Method Based on Intelligent Reflection Surface Assisted UAV Relay System |
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| LU Weidang,CAO Mingfeng,GAO Yuan,CAO Jiang,HUA Qiaozhi,LI Bo,ZHAO Nan.Secure Communication Method Based on Intelligent Reflection Surface Assisted UAV Relay System[J].Journal of Electronics & Information Technology,2022,44(7):2273-2280. |
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| Authors: | LU Weidang CAO Mingfeng GAO Yuan CAO Jiang HUA Qiaozhi LI Bo ZHAO Nan |
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| Affiliation: | 1.School of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China2.War Research Institute of PLA Academy of Military Sciences, Beijing 100091, China3.School of Computer Engineering, Hubei University of Arts and Sciences, Xiangyang 441053, China4.School of Science and Engineering, Harbin Institute of Technology(Weihai), Weihai 264209, China5.School of Information and Communication Engineering, Dalian University of Technology, Dalian 116024, China |
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| Abstract: | To improve the security of wireless transmission system and solve the problem that wireless channel is easily blocked by obstacles, a secure communication method based on an Intelligent Reflecting Surface (IRS) assisted Unmanned Air Vehicle (UAV) relay system is proposed. In the proposed method, the minimum-secrecy are maximized by jointly optimizing the position of UAV, beamforming at base station and phase shifts of IRS. To solve this complicated non-convex optimization problem, the original problem is divided into UAV position optimization sub-problem, beamforming and IRS’s phase shifts optimization sub-problem. The first order Taylor expansion method is applied to handle the non-convex terms of the optimization problems. Then, an alternate optimization algorithm is proposed to solve the problem. The simulation results shows that the proposed algorithm can improve the minimum-secrecy rate, and its convergence is well. |
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