基于改进差分进化的无人机网络安全速率的优化

Optimal Secrecy Rate for UAV System Based onImproved Differential Evolution

由于高视距(Line of Sight,LOS)的空对地通信,无人机(Unmanned Aerial Vehicle,UAV)通信网络容易遭受窃听者的截获。为此,针对智能反射面(Intelligent Reflecting Surface,IRS)辅助UAV通信系统,提出基于改进差分进化算法的安全速率优化(Optimal Secrecy Rate Based on Improved Differential Evolution,OSR-IDE)算法,进而提升系统的安全速率。将IRS与UAV结合,提升信号传输质量。OSR-IDE算法联合优化UAV传输的波束赋形(Passive Beamforming,PBF)、IRS相移、IRS和UAV位置来最大化系统的安全速率。建立最大化系统安全速率优化问题模型,利用改进的差分进化算法求解。仿真结果表明,OSR-IDE算法的安全速率优于基准算法。

Unmanned Aerial Vehicle(UAV)communication are easy to be intercepted by eavesdroppers because of the high Line of Sight(LOS)available in the air to ground channel.Therefore,for Intelligent Reflecting Surface(IRS)-aided UAV network,Optimal Secrecy Rate Based on Improved Differential Evolution(OSR-IDE)is proposed in this paper to improve the secrecy rate.IRS is integrated with the UAV as IRS has the ability to reconfigure the propagation environment.A joint solution of the Passive Beamforming(PBF)of the UAV,phase shift of the IRS,and the locations of UAV and IRS optimization problem is formulated to maximize the secrecy rate.In OSR-IDE,the optimization problem is firstly constructed,and it is solved by improved differential evolution.Simulation results reveal that the OSR-IDE scheme outperforms the benchmarks in term of secrecy rate.