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- W4384518290 abstract "This paper studies a mobile edge computing (MEC) system integrated with digital twin (DT) and unmanned aerial vehicle (UAV). DTs of UAV and IoT devices are deployed in the nearby resource-abundant base station. The UAV executes the computing tasks of the ground IoT devices. To minimize the maximum completion time of IoT devices' computing tasks, considering the computing and trajectory constraints. we jointly optimize the offloading strategy, the DT-estimated computing resource allocation and the UAV trajectory. An alternative algorithm is proposed to tackle this problem efficiently. Numerical results validate the performance of the algorithm in reducing latency." @default.
- W4384518290 created "2023-07-18" @default.
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- W4384518290 date "2023-05-26" @default.
- W4384518290 modified "2023-09-27" @default.
- W4384518290 title "Joint Resource Allocation in Digital-Twin-Assisted and UAV-Enabled Mobile Edge Computing System" @default.
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- W4384518290 doi "https://doi.org/10.1109/icetci57876.2023.10176694" @default.
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