Air-Ground Physical Layer Security Transmission Scheme Assisted by Reconfigurable Intelligent Surfaces

Unmanned aerial vehicles (UAVs) play a crucial role in wireless communication networks due to their mobility, line-of-sight (LoS) link, flexible, and on-demand deployment advantages. To address the challenge of secure air-to-ground transmission, this paper investigates a communication model where UAV is equipped with reconfigurable intelligent surfaces (RIS) to serve as relay. Specifically, the beamforming (BF), RIS phase shift and UAV flight trajectory are jointly optimized to maximize the average secrecy rate (ASR). Then, the non-convex problem is decomposed into three sub-problems and addressed using alternating optimization (AO) algorithm. The results of the simulations serve to confirm the efficacy of the proposal regarding the PLS scheme.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/ccpqt64497.2024.00068
Primary Topic
Biometric Identification and Security
Type
article
Field-Weighted Citation Impact
0.00

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article

Air-Ground Physical Layer Security Transmission Scheme Assisted by Reconfigurable Intelligent Surfaces

Kan Yu, Yuan Wen, Dong Li, Kaixuan Li et al.
Biometric Identification and Security
article

Air-Ground Physical Layer Security Transmission Scheme Assisted by Reconfigurable Intelligent Surfaces

Kan Yu, Yuan Wen, Dong Li, Kaixuan Li, Zhiyong Feng, Xiaowu Liu, Xiao Zhao
article en

Abstract

Unmanned aerial vehicles (UAVs) play a crucial role in wireless communication networks due to their mobility, line-of-sight (LoS) link, flexible, and on-demand deployment advantages. To address the challenge of secure air-to-ground transmission, this paper investigates a communication model where UAV is equipped with reconfigurable intelligent surfaces (RIS) to serve as relay. Specifically, the beamforming (BF), RIS phase shift and UAV flight trajectory are jointly optimized to maximize the average secrecy rate (ASR). Then, the non-convex problem is decomposed into three sub-problems and addressed using alternating optimization (AO) algorithm. The results of the simulations serve to confirm the efficacy of the proposal regarding the PLS scheme.

Macau University of Science and Technology (MO), Beijing University of Posts and Telecommunications (CN), Qufu Normal University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province
Affordable and clean energy
Openalex Percentile: Top 69%
Biometric Identification and Security
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