The proposed system consists of a UAV, a ground user equipment (UE), and a ground target that the UAV tracks. The UAV has a computing task and can partially offload it to the UE. While offloading the task, the UAV uses the offloading bit sequence to estimate the velocity of the ground target based on an autocorrelation function. The performance of the velocity estimation, represented by the CRB, depends on the length of the offloading bit sequence and the UAV's location.
The authors jointly optimize the task size for offloading and the UAV's location to minimize the overall computation latency and the CRB of the mean square error for velocity estimation, subject to the UAV's budget constraints. The problem is non-convex, and the authors propose a genetic algorithm to solve it.
The simulation results demonstrate the effectiveness of the proposed algorithm in terms of reducing the total latency and the CRB of the velocity estimation, compared to baseline schemes.
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by Trinh Van Ch... às arxiv.org 04-15-2024
https://arxiv.org/pdf/2404.08396.pdfPerguntas Mais Profundas