Reference : UAV-Assisted Secure Communications in Terrestrial Cognitive Radio Networks: Joint Pow...
Scientific journals : Article
Engineering, computing & technology : Electrical & electronics engineering
Security, Reliability and Trust
UAV-Assisted Secure Communications in Terrestrial Cognitive Radio Networks: Joint Power Control and 3D Trajectory Optimization
Nguyen, X. Nguyen []
Nguyen, van Dinh mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Nguyen, Van Hieu []
Shin, Oh-Soon []
IEEE Transactions on Vehicular Communications
Institute of Electrical and Electronics Engineers
3298 - 3313
[en] Cognitive radio networks ; unmanned aerial vehicles ; inner approximation
[en] This paper considers secure communications for an underlay cognitive radio network (CRN) in the presence of an external eavesdropper (Eve). The secrecy performance of CRNs is usually limited by the primary receiver’s interference power constraint. To overcome this issue, we propose to use an unmanned aerial vehicle (UAV) as a friendly jammer to interfere Eve in decoding the confidential message from the secondary transmitter (ST). Our goal is to jointly optimize the transmit power and UAV’s trajectory in the three-dimensional (3D) space to maximize the average achievable secrecy rate of the secondary system. The formulated optimization problem is nonconvex due to the nonconvexity of the objective and nonconvexity of constraints, which is very challenging to solve. To
obtain a suboptimal but efficient solution to the problem, we first transform the original problem into a more tractable form and develop an iterative algorithm for its solution by leveraging the inner approximation framework. We further extend the proposed algorithm to the case of imperfect location information of Eve, where the average worst-case secrecy rate is considered as the objective function. Extensive numerical results are provided to demonstrate the merits of the proposed algorithms over existing approaches.
Researchers ; Professionals ; Students
FnR ; FNR13713801 > Bjorn Ottersten > 5G-Sky > Interconnecting The Sky In 5g And Beyond - A Joint Communication And Control Approach > 01/06/2020 > 31/05/2023 > 2019

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