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Collaborative Service Provisioning for UAV-Assisted Mobile Edge Computing

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Unmanned aerial vehicle(UAV)-assisted mobile edge computing(MEC),as a way of coping with delay-sensitive and computing-intensive tasks,is considered to be a key technology to solving the challenges of terrestrial MEC networks.In this work,we study the problem of collaborative service provisioning(CSP)for UAV-assisted MEC.Specifically,taking into account the task latency and other resource constraints,this paper investigates how to minimize the total energy consumption of all terrestrial user equipments,by jointly optimizing computing resource al-location,task offloading,UAV trajectory,and service placement.The CSP problem is a non-convex mixed integer nonlinear programming problem,owing to the complex coupling of mixed integral variables and non-convexity of CSP.To address the CSP problem,this paper proposes an alternating optimization-based solution with the conver-gence guarantee as follows.We iteratively deal with the joint service placement and task offloading subproblem,and UAV movement trajectory subproblem,by branch and bound and successive convex approximation,respectively,while the closed form of the optimal computation resource allocation can be efficiently obtained.Extensive simula-tions validate the effectiveness of the proposed algorithm compared to three baselines.

Service provisioningUnmanned aerial vehicle(UAV)Mobile edge computing(MEC)

Yuben QU、Zhenhua WEI、Zhen QIN、Tao WU、Jinghao MA、Haipeng DAI、Chao DONG

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The Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space,Ministry of Industry and Information Technology,Nanjing 21106,China

Colllege of Electronic and Information Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China

Xi'an Research Institute of High Technology,Xi'an 710025,China

Department of Information and Communication,Noncommissioned Officer Academy of PAP,Hangzhou 310000,China

National University of Defense Technology,Hefei 230009,China

Department of Computer Science and Technology,Nanjing University,Nanjing 210023,China

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2024

10.23919/cje.2021.00.323

电子学报(英文)

电子学报(英文)

CSTPCDEI
ISSN：1022-4653
年,卷(期)：2024.33(6)