中继协同无人机辅助的认知无线电网络安全通信  

Secure Communication in Cognitive Radio Network Assisted by Cooperative Relay and UAV

作　　者：曹胜男 贾向东 吕亚平[1] 胡海霞 郭艺轩 CAO Shengnan;JIA Xiangdong;LÜYaping;HU Haixia;GUO Yixuan(College of Computer Science and Engineering,Northwest Normal University,Lanzhou 730070,China;Wireless Communication Key Lab of Jiangsu Province,Nanjing University of Posts and Telecommunications,Nanjing 210003,China)

机构地区：[1]西北师范大学计算机科学与工程学院,兰州730070 [2]南京邮电大学江苏省无线通信重点实验室,南京210003

出　　处：《计算机工程》2021年第6期203-209,共7页Computer Engineering

基　　金：国家自然科学基金(61861039);甘肃省科技计划“无人机关键技术研究”(18YF1GA060);西北师范大学青年教师科研能力提升计划创新团队项目“下一代无线网络关键技术”。

摘　　要：针对中继协同无人机(UAV)辅助的无线通信网络,提出一种基于认知无线电网络(CRN)的物理层安全通信方案。利用二次发射机协同解码转发中继向目的接收机发送机密消息,将UAV用作移动干扰器发送干扰噪声,以降低窃听者的解码能力。在不影响主用户通信的前提下,通过联合优化UAV的飞行轨迹和发射功率提高系统的平均保密率,采用基于连续凸逼近的算法求解近似凸规划的保密率最大化问题。仿真结果表明,相较于优化功率和优化轨迹这两种传统方案,该方案能够进一步提高CRN系统通信的安全性。This paper proposes a communication scheme that ensures physical layer security based on Cognitive Radio Network(CRN),which is designed for Wireless Communication Networks(WSN)assisted by cooperative relay and Unmanned Aerial Vehicle(UAV).In order to reduce the decoding ability of the eavesdropper,the scheme employs Secondary Transmitter(ST)to coordinate with the Decode and Forward(DF)relay to send confidential messages to the destination receiver,while UAV serve as mobile jammers to transmit interference noise.On the premise of not affecting the primary user communication,the flight trajectories and transmit power of UAV are jointly optimized to improve the average security rate of the system.At the same time,the algorithm based on continuous convex approximation is used to solve the problem of maximum secrecy rate of approximate convex programming.The simulation results show that the proposed scheme can achieve higher system security than the traditional schemes based on power optimization or trajectory optimization.

关 键 词：无人机 认知无线电网络 物理层安全 解码转发中继 保密率 

分 类 号：TN929.5[电子电信—通信与信息系统]