Literature Database Entry

khalili2023energy-aware


Ata Khalili, Atefeh Rezaei, Dongfang Xu and Robert Schober, "Energy-Aware Resource Allocation and Trajectory Design for UAV-Enabled ISAC," Proceedings of IEEE Global Communications Conference (GLOBECOM 2023), Kuala Lumpur, Malaysia, December 2023, pp. 4200–4205.


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 be compatible with practical UAV-based sensing systems, sensing is carried out while the UAV hovers. In particular, we jointly optimize the two-dimensional trajectory, the velocity, and the downlink information and sensing beamformers of a fixed-altitude UAV for minimization of the average power consumption, while ensuring 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

BibTeX reference

@inproceedings{khalili2023energy-aware,
    author = {Khalili, Ata and Rezaei, Atefeh and Xu, Dongfang and Schober, Robert},
    title = {{Energy-Aware Resource Allocation and Trajectory Design for UAV-Enabled ISAC}},
    pages = {4200--4205},
    publisher = {IEEE},
    address = {Kuala Lumpur, Malaysia},
    booktitle = {IEEE Global Communications Conference (GLOBECOM 2023)},
    month = {12},
    year = {2023},
   }
   
   

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