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arXiv · 2302.10124

Energy-Aware Resource Allocation and Trajectory Design for UAV-Enabled ISAC

Ata Khalili·Atefeh Rezaei·Dongfang Xu·Robert Schober
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Abstract

In this paper, we investigate joint resource allocation and trajectory design for multi-user multi-target unmanned aerial vehicle (UAV)-enabled integrated sensing and communication (ISAC). To improve sensing accuracy, the UAV is forced to hover during sensing.~In particular, we jointly optimize the two-dimensional trajectory, velocity, downlink information and sensing beamformers, and sensing indicator to minimize the average power consumption of a fixed-altitude UAV, while considering the quality of service of the communication users and the sensing tasks. To tackle the resulting non-convex mixed integer non-linear program (MINLP), we exploit semidefinite relaxation, the big-M method, and successive convex approximation to develop an alternating optimization-based algorithm.~Our simulation results demonstrate the significant power savings enabled by the proposed scheme compared to two baseline schemes employing heuristic trajectories.

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Ata Khalili, Atefeh Rezaei, Dongfang Xu, Robert Schober. 2023-02-20. Energy-Aware Resource Allocation and Trajectory Design for UAV-Enabled ISAC. https://arxiv.org/abs/2302.10124

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