UAV-Aided Multiuser Mobile Edge Computing Networks with Energy Harvesting. (21st June 2022)

• Record Type: Journal Article
• Authors: Wang, Changyu; Yu, Weili; Zhu, Fusheng; Ou, Jiangtao; Fan, Chengyuan; Ou, Jianghong; Fan, Dahua
• Other Names: Li Xingwang Academic Editor.
• Is Part Of: Wireless communications and mobile computing. Volume 2022(2022)
• Publication Date: 2022-06-21
• Subjects: Wireless communication systems -- Periodicals; Mobile communication systems -- Periodicals; 621.38205
• DOI: 10.1155/2022/6723403
• Languages: English
• ISSNs: 1530-8669

Abstract

Abstract : This article studies a mobile edge computing (MEC) with one edge node (EN), where multiple unmanned aerial vehicles (UAVs) act as users which have some heavy tasks. As the users generally have limitations in both calculating and power supply, the EN can help calculate the tasks and meanwhile supply the power to the users through energy harvesting. We optimize the system by proposing a joint strategy to unpacking and energy harvesting. Specifically, a deep reinforcement learning (DRL) algorithm is implemented to provide a solution to the unpacking, while several analytical solutions are given to the power allocation of energy harvesting among multiple users. In particular, criterion I is the equivalent power allocation, criterion II is designed through equal data rate, while criterion III is based on the equivalent transmission delay. We finally give some results to verify the joint strategy for the UAV-aided multiuser MEC system with energy harvesting.