Robust UAV-assisted jamming secure performance improvement for cognitive UAV networks: Joint resource allocation and trajectory design

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Authors: Sun Ruomei, Yuhang Wu, Tao Zhenhui, Fuhui Zhou, Wu Qihui
Cited by: 0

Abstract

Cognitive unmanned aerial vehicle (UAV) is promising to tackle the spectrum scarcity problem faced by UAV communications. However, the secure information transmission is challenging due to the open nature of the spectrum sharing. In order to tackle this issue, a cognitive UAV network with cooperative jamming is studied in this paper. A robust resource allocation and trajectory joint optimization problem is formulated by considering the practical case that the channel state information (CSI) cannot be accurately obtained. An iterative algorithm is proposed to address this challenging non-convex problem. Simulation results demonstrate that the worst case robust resource allocation design can realize the secure communications even under the imperfect CSI. Moreover, compared with other benchmark schemes, the proposed scheme can achieve secure performance improvement.

Fields of Study & Subjects

UAV Applications and Optimization Wireless Communication Security Techniques Cognitive Radio Networks and Spectrum Sensing

Publication details

Journal / source
China Communications
Volume
23
Issue
2
Pages
137–149
Publication date
1 February 2026
Language
EN