Security performance analysis of RIS-assisted UAV wireless communication in industrial IoT

Abstract

With the development of the unmanned aerial vehicle (UAV), UAV is widely used in various fields, such as Industrial IoT. Usually, the communication between UAV and the ground node is the line-of-sight (LoS) transmission. However, the performance of the UAV wireless communication system degrades greatly as the LoS links are prone to deteriorate in some complex communication scenarios. Fortunately, the quality of the communication link can be improved effectively by placing reconfigurable intelligent surfaces (RISs) into the ground nodes and UAV. Motivated by this, by optimizing the RIS passive beamforming, the ground user association, the UAV trajectory and transmit power synthetically, in this paper, we propose a secure RISassisted UAV wireless communication system based on multiple ground users to maximize the minimum average security rate among ground users. Also, we conduct an efficient algorithm based on the block coordinate descent (BCD) and successive convex approximation (SCA) methods to solution the no-convex optimization problem. Compared with the benchmark algorithm, the simulation results show that the proposed algorithm can improve the security performance of the RIS-assisted UAV wireless communication system effectively.

Nonterrestrial Communications Assisted by Reconfigurable Intelligent Surfaces

“…Other factors were also studied in the aforementioned papers, including the impact of increasing the number of transmitting antennas or the transmit power at the ABS. Liu et al [148] considered a more involved TRIS-assisted system in which multiple legitimate GUs are served by the ABS through the TDMA mode in the presence of one eavesdropper. Under this setting, the authors investigated the maximization of the minimum average secrecy rate among users with respect to the users' scheduling scheme, the reflecting beamforming, the UAV's trajectory, and the transmit power.…”

“…Depending on the considered objectives and their associated constraints, researchers propose to adopt different algorithms for solving optimization problems with particular forms. 1) SCA: The SCA algorithm acts as one of the most popular methods for solving nonconvex optimization problem such as power control [54], [148], [154], RIS configuration [54], [98], [113], [147], [149], [151], and position/trajectory optimization of aerial platforms [49], [51], [54], [76], [83], [98], [100], [122], [133]- [135], [138], [144]- [150], [152], [153], [158]. Specifically, at each iteration, the original nonconvex functions are approximated by some convex upper bounds of them with the same first order behavior.…”

“…7) Binary constraint relaxation: Consideration of multiple users or multiple RIS leads to user/RIS scheduling problems with binary constraints. The nonconvexity of this kind of problems can be handled by relaxing the binary constraint to a continuous one [45], [47], [87], [148]. 8) S-procedure: Xu et al [140] and Li et al [149] also adopted a Lagrange relaxation technique called S-procedure to transfer the quadratic constraints into linear matrix inequalities to ease the optimization process.…”

Time Series Classification for Portable Medical Devices

“…IoT has invented a variety of sensor devices to collect data [3] [4]. Researchers have proposed various methods to guarantee the data safety in the transmission process of IoT [5][6][7][8][9][10][11]. The medical industry has made great progress thanks to these sensors [12] [13].…”