Joint Resource Allocation and 3D Deployment for Multi-UAV Covert Communications

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Author(s)Mao, Haobin
Author(s)Liu, Yanming
Author(s)Xiao, Zhenyu
Author(s)Han, Zhu
Author(s)Xia, Xiang-Gen
Date Accessioned2023-08-15T14:51:35Z
Date Available2023-08-15T14:51:35Z
Publication Date2023-07-05
Description© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. This article was originally published in IEEE Internet of Things Journal. The version of record is available at: https://doi.org/10.1109/JIOT.2023.3287838. This article will be embargoed until 07/05/2025.
AbstractUnmanned aerial vehicles (UAVs) assisted wireless communication will play an important role in the next-generation mobile communication network. However, the inherent open nature of the signal propagation environment may cause illegal eavesdropping and surveillance from adversaries. In addition, the intergroup co-channel interference among different cells further degrades the system performance. Hence, we consider a generic scenario of multiple UAV base stations (UAV-BSs) and ground users, where multiple terrestrial wardens attempt to detect the transmissions from UAV-BSs to users and a UAV-mounted jammer is employed to generate artificial noise to assist the covert communications. To ensure fairness, we formulate an optimization problem to maximize the minimum of the average rate lower bounds of all users by jointly optimizing user association, bandwidth allocation, UAV transmit power control, and UAV three-dimensional (3D) deployment, subject to the constraints of the detection error probability of each warden. To solve this mixed-integer non-convex problem, we propose a suboptimal algorithm by applying block coordinate descent (BCD) method to solve three subproblems iteratively. Specifically, in each iteration, the subproblem of user association and bandwidth allocation is solved by a customized genetic algorithm (GA) first, where a closed-form expression for bandwidth allocation is obtained. Second, the subproblem of UAV transmit power control is solved by using successive convex approximation (SCA) techniques. Finally, suboptimal 3D positions of the UAVs are obtained through particle swarm optimization (PSO) based algorithm. Extensive simulation results demonstrate the effectiveness and superiority of our proposed algorithm compared to benchmark schemes in terms of improving the minimum of the average rate lower bounds of all users.
SponsorThis work was supported in part by the National Natural Science Foundation of China (NSFC) under grant numbers 62171010 and U22A2007, in part by the Beijing Natural Science Foundation under grant number L212003, and in part by NSF CNS-2107216, CNS-2128368, CMMI-2222810, Toyota and Amazon.
CitationH. Mao, Y. Liu, Z. Xiao, Z. Han and X. -G. Xia, "Joint Resource Allocation and 3D Deployment for Multi-UAV Covert Communications," in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2023.3287838.
ISSN2327-4662
URLhttps://udspace.udel.edu/handle/19716/33074
Languageen_US
PublisherIEEE Internet of Things Journal
Keywordsmulti-UAV covert communications
Keywordsjammer
Keywordsbandwidth allocation
Keywordsuser association
Keywordspower control
Keywords3D deployment
TitleJoint Resource Allocation and 3D Deployment for Multi-UAV Covert Communications
TypeArticle
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