Article Details

Title · Authors · Abstract · Keywords · DOI · References

Research on UAV Secure Transmission Based on IRS

LIANG Yan1,2, YANG Chun1

(1.School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China; 2.Chongqing Key Laboratory of Signal and Information Processing, Chongqing 400065, China)

Section：Network and Information Security · Vol. 2025, Issue 9 · Pages：181-187 · 2096-4706（2025）09-0181-07 · CLC number：TN911.7；TN918.91 · Document code：A · DOI：10.19850/j.cnki.2096-4706.2025.09.034

Abstract

Aiming at the inaccuracy location information of eavesdroppers in the secure communication scenario of UAV and the problem of NFZ in UAV flight, the secure transmission of UAV communication network assisted by IRS is studied. An optimization problem is constructed to maximize the Average Secrecy Rate in the worst case. The alternating optimization algorithm, phase alignment and successive convex approximation method are used to jointly optimize the IRS phase shift, UAV flight trajectory and UAV transmission power. The simulation results show that the proposed scheme can address the problem of imperfect location information of eavesdroppers and NFZ, and improve the Average Secrecy Rate in the worst case.

Keywords

UAV; NFZ; IRS; secure transmission

References

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About the authors

Liang Yan (1977-), female, Han ethnicity, Chongqing native, senior engineer, master's degree, research direction: mobile communication software development, embedded and IoT, AI artificial intelligence; Yang Chun (2000-), female, Yi ethnic, from Liangshan, Sichuan, is currently pursuing a master's degree in drone safety and intelligent reflective surfaces.