Joint Resource and Trajectory Optimization for Security in UAV-Assisted MEC Systems

Unmanned aerial vehicle (UAV) has been widely applied in internet-of-things (IoT) scenarios while the security for UAV communications remains a challenging problem due to the broadcast nature of the line-of-sight (LoS) wireless channels. This article investigates the security problems for dual UAV-a...

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Bibliographic Details
Published in:IEEE transactions on communications 2021-01, Vol.69 (1), p.573-588
Main Authors: Xu, Yu, Zhang, Tiankui, Yang, Dingcheng, Liu, Yuanwei, Tao, Meixia
Format: Article
Language:English
Subjects:
Algorithms
Descent
Eavesdropping
Edge computing
Internet of Things
Jamming
Line of sight
Mobile computing
Mobile edge computing
NOMA
non-orthogonal multiple access
physical layer security
Security
Task analysis
Time Division Multiple Access
Trajectory optimization
unmanned aerial vehicle
Unmanned aerial vehicles
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Summary:Unmanned aerial vehicle (UAV) has been widely applied in internet-of-things (IoT) scenarios while the security for UAV communications remains a challenging problem due to the broadcast nature of the line-of-sight (LoS) wireless channels. This article investigates the security problems for dual UAV-assisted mobile edge computing (MEC) systems, where one UAV is invoked to help the ground terminal devices (TDs) to compute the offloaded tasks and the other one acts as a jammer to suppress the vicious eavesdroppers. In our framework, minimum secure computing capacity maximization problems are proposed for both the time division multiple access (TDMA) scheme and non-orthogonal multiple access (NOMA) scheme by jointly optimizing the communication resources, computation resources, and UAVs' trajectories. The formulated problems are non-trivial and challenging to be solved due to the highly coupled variables. To tackle these problems, we first transform them into more tractable ones then a block coordinate descent based algorithm and a penalized block coordinate descent based algorithm are proposed to solve the problems for TDMA and NOMA schemes, respectively. Finally, numerical results show that the security computing capacity performance of the systems is enhanced by the proposed algorithms as compared with the benchmarks. Meanwhile, the NOMA scheme is superior to the TDMA scheme for security improvement.
ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2020.3025910