UAV-Enabled Covert Communication in LAWN: From Typical Application to Efficient and Novel Trajectory Design Method

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Authors: Peng Wu, Yuxi Huang, Xiaopeng Yuan, Wei Gao, Yulin Hu, Anke Schmeink
Cited by: 1
References: 15

Abstract

Owing to the flexible and rapid deployment capabilities, low altitude wireless network (LAWN) is gaining widespread adoption across diverse areas. Unmanned aerial vehicle (UAV), characterized by high mobility, is emerging as a pivotal component of LAWN. However, the open nature of UAV air to ground (A2G) channels render the communications highly vulnerable to illegal detection, posing a critical covert issue. This inherent vulnerability highlights the need for UAV-enabled covert communication, which aims to hide the existence of wireless transmission from illegal wardens and has attracted significant research attentions. In this article, we provide a comprehensive overview of UAV-enabled covert communication in LAWN. We first introduce typical applications and analyze emerging techniques in this domain. Subsequently, we focus on the core challenges of trajectory design, where we present two novel trajectory design methods, the successive-hover-and-fly (SHF) structure that reduces design complexity by reformulating the continuous trajectory into finite hovering points, and the artificial potential field (APF) method that, for the first time, yields a closed-form globally optimal trajectory solution. Numerical results demonstrate that these novel methods achieve near-optimal covert performance with significantly lower complexity compared to benchmark. Finally, several open directions and the challenges are discussed.

Fields of Study & Subjects

UAV Applications and Optimization Wireless Communication Security Techniques Underwater Vehicles and Communication Systems

Publication details

Journal / source
IEEE Communications Magazine
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
64
Issue
9
Pages
196–203
Publication date
9 June 2026
Language
EN