An alternating optimization algorithm jointly tunes task allocation, bandwidth allocation, and UAV trajectory in a UAV-assisted MEC system to minimize total energy consumption under task, information-causality, bandwidth, and trajectory constraints, showing gains over baselines in simulations.
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Task and Bandwidth Allocation for UAV-Assisted Mobile Edge Computing with Trajectory Design
An alternating optimization algorithm jointly tunes task allocation, bandwidth allocation, and UAV trajectory in a UAV-assisted MEC system to minimize total energy consumption under task, information-causality, bandwidth, and trajectory constraints, showing gains over baselines in simulations.