Covert communication towards a flying warden in UAV-assisted MEC system

Due to the high flexibility of Unmanned Aerial Vehicles (UAVs), equipping Mobile Edge Computing (MEC) servers on UAVs can effectively and rapidly handle the high computing requirements of computation-intensive tasks. However, the Line-of-Sight (LoS) transmission between the UAV and ground users makes the offloading information be easily monitored. Therefore, this paper proposes a covert communication scheme against a flying warden in UAV-assisted MEC system. In the proposed scheme, the UAV server assists ground users in completing the computation of offloading tasks. To reduce the possibility of the flying warden detecting the transmission behavior of ground users to the UAV server, a ground jamming device sends jamming signals to the flying warden. The minimum computing capacity of the system is maximized by jointly optimizing ground users’ resources and the UAV server’s trajectory under the constraint of system covertness. Due to the multivariable coupling, the optimization problem is non-convex. The optimization problem is first transformed into a tractable form, and then the optimizing solution is iteratively obtained using Successive Convex Approximation (SCA) and Block Coordinate Descent (BCD) algorithms. Numerical results show that, compared to the benchmark schemes, the proposed scheme effectively enhances the computing capacity of the system while meeting the system’s covertness requirements.

Authors

Institutions

Publication Details

Journal
Chinese Journal of Aeronautics
Published
2025-05-05
DOI
https://doi.org/10.1016/j.cja.2025.103568
Citations
1
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
4.99

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Covert communication towards a flying warden in UAV-assisted MEC system

Binyu CHEN, D X Lin, Su Hu, Y. S. Chen et al.
1 citations
Chinese Journal of Aeronautics
UAV Applications and Optimization
4.99
article

Covert communication towards a flying warden in UAV-assisted MEC system

Binyu CHEN, D X Lin, Su Hu, Y. S. Chen, Zhutian Yang, Yu‐Qiang Ding, Weidang Lu, Pengyue Si
article en
1 citations

Abstract

Due to the high flexibility of Unmanned Aerial Vehicles (UAVs), equipping Mobile Edge Computing (MEC) servers on UAVs can effectively and rapidly handle the high computing requirements of computation-intensive tasks. However, the Line-of-Sight (LoS) transmission between the UAV and ground users makes the offloading information be easily monitored. Therefore, this paper proposes a covert communication scheme against a flying warden in UAV-assisted MEC system. In the proposed scheme, the UAV server assists ground users in completing the computation of offloading tasks. To reduce the possibility of the flying warden detecting the transmission behavior of ground users to the UAV server, a ground jamming device sends jamming signals to the flying warden. The minimum computing capacity of the system is maximized by jointly optimizing ground users’ resources and the UAV server’s trajectory under the constraint of system covertness. Due to the multivariable coupling, the optimization problem is non-convex. The optimization problem is first transformed into a tractable form, and then the optimizing solution is iteratively obtained using Successive Convex Approximation (SCA) and Block Coordinate Descent (BCD) algorithms. Numerical results show that, compared to the benchmark schemes, the proposed scheme effectively enhances the computing capacity of the system while meeting the system’s covertness requirements.

Chinese Journal of AeronauticsVol. 38(10)
University of Electronic Science and Technology of China (CN), Nanyang Technological University (SG), Harbin Institute of Technology (CN), Chinese Academy of Engineering (CN), Institute of Electronics (CN), Zhejiang University of Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Sichuan Province, Natural Science Foundation of Zhejiang Province
Openalex Percentile: Top 6%
UAV Applications and Optimization
4.99
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.