Skip to content

Covert Communication in Dual-UAV-Aided ISAC Systems With Collusive Wardens

Sep 2026 · IEEE Internet of Things Journal · Vol 13, pp. 43225-43237 · 2 citations · 46 references

Abstract

Integrated sensing and communication (ISAC) enables the efficient utilization of limited spectrum resources to simultaneously support wireless communication and sensing (C&S), making it a promising technology for future wireless networks. Uncrewed aerial vehicle (UAV)-enabled ISAC further exploits UAV mobility and favorable air-to-ground (A2G) line-of-sight (LoS) links to achieve flexible coverage and enhanced C&S performance. This work investigates the covert performance of a dual-UAV-aided ISAC system in the presence of multiple collusive wardens. In the considered system, an aerial base station (BS) UAV conducts covert communications with terrestrial legitimate users while simultaneously sensing the warden region. A friendly UAV transmits auxiliary sensing/interference signals to facilitate cooperative sensing and regulate the wardens’ observation quality. Considering the optimal detection thresholds of the wardens, we maximize the average covert rate (ACR) by jointly optimizing user scheduling, transmit beamforming, and UAV trajectories, subject to constraints on maximum flight speed, transmit power, propulsion energy consumption, joint sensing requirements, and covertness. To address the nonconvexity arising from the strong coupling among multiple variables, the original problem is decomposed into three subproblems. Successive convex approximation (SCA) is then employed to transform the nonconvex subproblems into approximate convex forms, which are solved sequentially using the block coordinate descent (BCD) technique. Numerical simulation results validate the effectiveness of the proposed algorithm.

View source

Similar papers

Preprint Aug 2026

Resource Allocation for Secure Dual-UAV-Assisted ISAC System

This work investigates the secrecy performance of a dual-uncrewed aerial vehicle (UAV)-assisted secure ISAC system, and maximizes the average secrecy rate by optimizing user scheduling strategies, time allocation, transmit power, and UAV trajectories.

Hongjiang Lei, Jianshuo Geng, Ki-Hong Park et al. · 1 citation
2026

Hierarchical Optimization of UAV Deployment and Resource Allocation for ISAC-Enabled Low-Altitude Wireless Networks

Driven by the vision of a thriving low-altitude economy and aiming to provide on-demand services for diverse entities, this paper investigates an integrated sensing and communication (ISAC)-enabled low-altitude wireless network (LAWN). Benefiting from flexible mobility and cost-effective cooperative deployment, multipl...

Cheng Ma, Ze-Wei Jing, Qinghai Yang et al. · 1 citation
2026

Joint Spectrum, Association, and Deployment Optimization for UAV Swarm-Assisted ISAC Networks

This paper jointly optimizes spectrum allocation, UAV association and deployment to maximize average system throughput while ensuring localization accuracy in ISAC networks, where sensing is realized through localization.

Zhuo-Jia Yang, Wei Su, Bin Yang et al. · 0 citations
2026

Joint Power and Trajectory Optimization for NOMA-Enabled Covert UAV Networks

Covert Communication (CC) has emerged as a vital paradigm for 6G security, offering protection against eavesdropping without sole reliance on upper-layer encryption. Using their strong mobility and flexible deployment, Unmanned Aerial Vehicles (UAVs) can serve as the ideal platforms for CC. However, UAV mobility and mu...

Zhi-Xin Liu, Zhi-Cheng Liu, Yuan-Ai Xie et al. · 0 citations
Preprint Aug 2026

Toward Secure Communications for a UAV Swarm with Movable Antennas in SAGIN: CKM-Enabled Multi-Agent Reinforcement Learning Framework

This work investigates a SAGIN-enabled secure downlink communication system in which UAVs select service links among satellite, aerial, and terrestrial networks while adjusting the positions of the movable antenna (MA) array to fully exploit connectivity and spatial degrees of freedom for improved secrecy communication...

Jia-Yang Wan, Ya-Fei Wang, Jia-Wei Zhuang et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.