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作 者:Huang Hailong Mohsen Eskandari Andrey V.Savkin Wei Ni
机构地区:[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
出 处:《Defence Technology(防务技术)》2024年第1期537-543,共7页Defence Technology
基 金:funding from the Australian Government,via grant AUSMURIB000001 associated with ONR MURI Grant N00014-19-1-2571。
摘 要: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 configurations of the RISs.The effectiveness of the proposed method is validated via computer simulations.
关 键 词: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
分 类 号:TN929.5[电子电信—通信与信息系统] V279[电子电信—信息与通信工程]
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