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Joint Offloading Decision and Trajectory Design for UAV-Enabled Edge Computing With Task Dependency

Bin Xu, Zhufang Kuang, Jie Gao, Lian Zhao, Chutian Wu

2022IEEE Transactions on Wireless Communications55 citationsDOI

Abstract

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.

Topics & Concepts

Computer scienceCoordinate descentBenchmark (surveying)Mathematical optimizationResource allocationTrajectoryTrajectory optimizationOptimization problemConvex optimizationTask (project management)Block (permutation group theory)Mobile edge computingEdge computingEnhanced Data Rates for GSM EvolutionResource management (computing)Distributed computingRegular polygonOptimal controlArtificial intelligenceAlgorithmMathematicsEngineeringGeometryPhysicsSystems engineeringAstronomyComputer networkGeographyGeodesyUAV Applications and OptimizationIoT and Edge/Fog ComputingDistributed Sensor Networks and Detection Algorithms
Joint Offloading Decision and Trajectory Design for UAV-Enabled Edge Computing With Task Dependency | Litcius