The unmanned aerial vehicle(UAV)-enabled mobile edge computing(MEC)architecture is expected to be a powerful technique to facilitate 5G and beyond ubiquitous wireless connectivity and di-verse vertical applications and services,anytime and anywhere.Wireless power transfer(WPT)is another promising technology to prolong the operation time of low-power wireless devices in the era of Internet of Things(IoT).However,the integration of WPT and UAV-enabled MEC systems is far from being well studied,especially in dynamic environments.In or-der to tackle this issue,this paper aims to investi-gate the stochastic computation offloading and trajec-tory scheduling for the UAV-enabled wireless powered MEC system.A UAV offers both RF wireless power transmission and computation services for IoT de-vices.Considering the stochastic task arrivals and ran-dom channel conditions,a long-term average energy-efficiency(EE)minimization problem is formulated.Due to non-convexity and the time domain coupling of the variables in the formulated problem,a low-complexity online computation offloading and trajec-tory scheduling algorithm(OCOTSA)is proposed by exploiting Lyapunov optimization.Simulation results verify that there exists a balance between EE and the service delay,and demonstrate that the system EE per-formance obtained by the proposed scheme outper-forms other benchmark schemes.

Han Hu;Xiang Zhou;Qun Wang;Rose Qingyang Hu

The Jiangsu Key Laboratory of Wireless Communications,Nanjing University of Posts and Telecommunications,Nanjing 210003,China;The Engineering Research Center of Health Service System Based on Ubiquitous Wireless Networks,Ministry of Education,Nanjing University of Posts and Telecommunications,Nanjing 210003,China;The Department of Electrical and Computer Engineering,Utah State University,Logan,UT,USA

中国通信（英文版）

[1]Han Hu;Xiang Zhou;Qun Wang;Rose Qingyang Hu-.Online Computation Offloading and Trajectory Scheduling for UAV-Enabled Wireless Powered Mobile Edge Computing)[J].中国通信（英文版）,2022(04):257-273

anytime,OCOTSA

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