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Joint Offloading Decision and Trajectory Design for UAV-Enabled Edge Computing With Task Dependency
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AI
DOI：10.1109/TWC.2022.3231408.png)
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Abstract
En 中文
In this paper, we investigate the joint problem of task offloading, Unmanned Aerial Vehicle (UAV) trajectory design, and resource allocation for UAV-enabled edge computing, considering and highlighting the dependency among different tasks. The corresponding optimization problem, which is a mixed-integer problem, is formulated. To solve this problem, we propose an iterative method based on Block Coordinate Descent (BCD) to decompose the original problem into two subproblems. Given the offloading decision and resource allocation, the subproblem of UAV trajectory optimization is solved by convex optimization methods. Then, given the UAV trajectory, the subproblem of task offloading decision and the corresponding resource allocation is solved by dynamic programming and convex optimization methods. Simulation results show that our proposed method can significantly reduce energy consumption compared to the benchmark schemes.
Keywords:
Mobile edge computing (MEC)
unmanned aerial vehicle (UAV)
task dependency
resource allocation
UAV trajectory optimization
Journal
IF:
10.7
Papers:
1.3W
Citations:
5.3W
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