2020/03/21 by Nguyen, Phu X., Van‐Dinh Nguyen, Nguyen, Van-Dinh +3
Engineering · #FOS: Electrical engineering #Satellite Communication Systems #Signal Processing (eess.SP) #UAV Applications and Optimization #Wireless Communication Security Techniques #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2003.09677
openalex publication_date 2020/03/21 · openalex created_date 2021/07/19 · openalex updated_date 2026/07/28
This paper considers secure communications for an underlay cognitive radio\nnetwork (CRN) in the presence of an external eavesdropper (Eve). The secrecy\nperformance of CRNs is usually limited by the primary receiver's interference\npower constraint. To overcome this issue, we propose to use an unmanned aerial\nvehicle (UAV) as a friendly jammer to interfere with Eve in decoding the\nconfidential message from the secondary transmitter (ST). Our goal is to\njointly optimize the transmit power and UAV's trajectory in the\nthree-dimensional (3D) space to maximize the average achievable secrecy rate of\nthe secondary system. The formulated optimization problem is nonconvex due to\nthe nonconvexity of the objective and nonconvexity of constraints, which is\nvery challenging to solve. To obtain a suboptimal but efficient solution to the\nproblem, we first transform the original problem into a more tractable form and\ndevelop an iterative algorithm for its solution by leveraging the inner\napproximation framework. We further extend the proposed algorithm to the case\nof imperfect location information of Eve, where the average worst-case secrecy\nrate is considered as the objective function. Extensive numerical results are\nprovided to demonstrate the merits of the proposed algorithms over existing\napproaches.\n