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

TL;DR

This paper proposes an energy-efficient joint resource allocation and trajectory design for UAV-enabled ISAC systems, optimizing power consumption while ensuring communication and sensing quality.

Contribution

It introduces a novel optimization framework for UAV trajectory, resource allocation, and sensing, using advanced mathematical techniques to minimize power consumption.

Findings

Significant power savings over baseline schemes

Effective joint optimization of trajectory and resource allocation

Enhanced sensing accuracy through hovering strategy

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.