Efficient UAV Hovering, Resource Allocation, and Trajectory Design for ISAC with Limited Backhaul Capacity

Khalili A, Rezaei A, Xu D, Dressler F, Schober R (2024)

Publication Language: English

Publication Type: Journal article

Publication year: 2024

Journal

IEEE Transactions on Wireless Communications Institute of Electrical and Electronics Engineers (IEEE)

Book Volume: 23

Pages Range: 17635-17650

Journal Issue: 11

DOI: 10.1109/TWC.2024.3455370

Abstract

In this paper, we investigate the joint resource allocation and trajectory design for a multi-user, multi-target unmanned aerial vehicle (UAV)-enabled integrated sensing and communication (ISAC) system, where the link capacity between a ground base station (BS) and the UAV is limited. The UAV conducts target sensing and information transmission in orthogonal time slots to prevent interference. As is common in practical systems, sensing is performed while the UAV hovers, allowing the UAV to acquire high-quality sensing data. Subsequently, the acquired sensing data is offloaded to the ground BS for further processing. We jointly optimize the UAV trajectory, UAV velocity, beamforming for the communication users, power allocated to the sensing beam, and time of hovering for sensing to minimize the power consumption of the UAV while ensuring the communication quality of service (QoS) and successful sensing. Due to the prohibitively high complexity of the resulting nonconvex mixed integer non-linear program (MINLP), we employ a series of transformations and optimization techniques, including semidefinite relaxation, big-M method, penalty approach, and successive convex approximation, to obtain a low-complexity suboptimal solution. Our simulation results reveal that 1) the proposed design achieves significant power savings compared to two baseline schemes; 2) stricter sensing requirements lead to longer sensing times, highlighting the challenge of efficiently managing both sensing accuracy and sensing time; 3) the optimized trajectory design ensures precise hovering directly above the targets during sensing, enhancing sensing quality and enabling the application of energy-focused beams; and 4) the proposed trajectory design balances the capacity of the backhaul link and the downlink rate of the communication users.

Authors with CRIS profile

Ataollah Khalilimahmoudabadi Lehrstuhl für Digitale Übertragung (IDC) Robert Schober Lehrstuhl für Digitale Übertragung (IDC)

Involved external institutions

Technische Universität Berlin

Germany (DE) Hong Kong University of Science and Technology (HKUST) / 香港科技大學

China (CN)

How to cite

APA:

Khalili, A., Rezaei, A., Xu, D., Dressler, F., & Schober, R. (2024). Efficient UAV Hovering, Resource Allocation, and Trajectory Design for ISAC with Limited Backhaul Capacity. IEEE Transactions on Wireless Communications, 23(11), 17635-17650. https://doi.org/10.1109/TWC.2024.3455370

MLA:

Khalili, Ata, et al. "Efficient UAV Hovering, Resource Allocation, and Trajectory Design for ISAC with Limited Backhaul Capacity." IEEE Transactions on Wireless Communications 23.11 (2024): 17635-17650.

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