Trajectory design and bandwidth allocation strategy in UAV-assisted MEC network

The unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) network, where the UAV can be used as a mobile base station to collect data from the multiple user devices was studied.Since it should satisfy the UAV velocity constraint, the system computation latency constraint, and the system...

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Main Authors: Xue JIANG, Liang ZHAO
Format: Article
Language:zho
Published: China InfoCom Media Group 2023-12-01
Series:物联网学报
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Online Access:http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2023.00329/
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author Xue JIANG
Liang ZHAO
author_facet Xue JIANG
Liang ZHAO
author_sort Xue JIANG
collection DOAJ
description The unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) network, where the UAV can be used as a mobile base station to collect data from the multiple user devices was studied.Since it should satisfy the UAV velocity constraint, the system computation latency constraint, and the system communication latency constraint, a joint scheme of bandwidth allocation and UAV 3D trajectory was proposed to minimize the total energy consumption of the network.The corresponding non-convex optimization problem that is difficult to solve was converted into two sub-optimization problems, which are the UAV 3D trajectory optimization subproblem by fixing bandwidth allocation, and the user equipment bandwidth allocation subproblem by fixing UAV 3D trajectory.Experiments demonstrate that the energy consumption of the proposed algorithm is less than that of the other two typical algorithms.Furthermore, the theoretical basis for solving the limited resource and energy problem in UAV-assisted MEC network was provided.
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issn 2096-3750
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publisher China InfoCom Media Group
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series 物联网学报
spelling doaj-art-ed2b08fba7db47dd825ca62b6d8a15742025-08-20T02:42:12ZzhoChina InfoCom Media Group物联网学报2096-37502023-12-01712313159566367Trajectory design and bandwidth allocation strategy in UAV-assisted MEC networkXue JIANGLiang ZHAOThe unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) network, where the UAV can be used as a mobile base station to collect data from the multiple user devices was studied.Since it should satisfy the UAV velocity constraint, the system computation latency constraint, and the system communication latency constraint, a joint scheme of bandwidth allocation and UAV 3D trajectory was proposed to minimize the total energy consumption of the network.The corresponding non-convex optimization problem that is difficult to solve was converted into two sub-optimization problems, which are the UAV 3D trajectory optimization subproblem by fixing bandwidth allocation, and the user equipment bandwidth allocation subproblem by fixing UAV 3D trajectory.Experiments demonstrate that the energy consumption of the proposed algorithm is less than that of the other two typical algorithms.Furthermore, the theoretical basis for solving the limited resource and energy problem in UAV-assisted MEC network was provided.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2023.00329/mobile edge computingUAVtrajectory optimizationbandwidth allocation
spellingShingle Xue JIANG
Liang ZHAO
Trajectory design and bandwidth allocation strategy in UAV-assisted MEC network
物联网学报
mobile edge computing
UAV
trajectory optimization
bandwidth allocation
title Trajectory design and bandwidth allocation strategy in UAV-assisted MEC network
title_full Trajectory design and bandwidth allocation strategy in UAV-assisted MEC network
title_fullStr Trajectory design and bandwidth allocation strategy in UAV-assisted MEC network
title_full_unstemmed Trajectory design and bandwidth allocation strategy in UAV-assisted MEC network
title_short Trajectory design and bandwidth allocation strategy in UAV-assisted MEC network
title_sort trajectory design and bandwidth allocation strategy in uav assisted mec network
topic mobile edge computing
UAV
trajectory optimization
bandwidth allocation
url http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2023.00329/
work_keys_str_mv AT xuejiang trajectorydesignandbandwidthallocationstrategyinuavassistedmecnetwork
AT liangzhao trajectorydesignandbandwidthallocationstrategyinuavassistedmecnetwork