Energy-efficient joint UAV secure communication and 3D trajectory optimization assisted by reconfigurable intelligent surfaces in the presence of eavesdroppers
Huang Hailong Mohsen Eskandari Andrey V.Savkin Wei Ni
Energy-efficient joint UAV secure communication and 3D trajectory optimization assisted by reconfigurable intelligent surfaces in the presence of eavesdroppers
1. The Department of Aeronautical and Aviation Engineering,The Hong Kong Polytechnic University,Hong Kong,China
2. School of Electrical Engineering and Telecommunications,University of New South Wales,Sydney,2052,Australia
3. Data61,CSIRO,Australia
折叠
Abstract
We consider a scenario where an unmanned aerial vehicle(UAV),a typical unmanned aerial system(UAS),transmits confidential data to a moving ground target in the presence of multiple eavesdroppers.Multiple friendly reconfigurable intelligent surfaces(RISs)help to secure the UAV-target communication and improve the energy efficiency of the UAV.We formulate an optimization problem to minimize the energy consumption of the UAV,subject to the mobility constraint of the UAV and that the achievable secrecy rate at the target is over a given threshold.We present an online planning method following the framework of model predictive control(MPC)to jointly optimize the motion of the UAV and the con-figurations of the RISs.The effectiveness of the proposed method is validated via computer simulations.
Key words
Unmanned aerial systems(UASs)/Unmanned aerial vehicle(UAV)/Communication security/Eaves-dropping/Reconfigurable intelligent surfaces(RIS)/Autonomous navigation and placement/Path planning/Model predictive control
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