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Path Design for Portable Access Point in Joint Sensing and Communications under Energy Constraints

Jing, X; Liu, F; Masouros, C; (2023) Path Design for Portable Access Point in Joint Sensing and Communications under Energy Constraints. In: Proceedings of the 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall). IEEE: London, UK. Green open access

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Abstract

We consider an unmanned aerial vehicle (UAV) based joint radar localization and communication system, where a UAV transmits the downlink signal to a ground communication user and the transmitted signal is also exploited to localize a target coordinates. We aim to optimize the UAV path with energy constraints. We formulate the trajectory design into a weighted optimization problem, where a scalable performance trade-off between localization and communication can be achieved. An iterative algorithm is exploited then to address the trajectory design formulation. Numerical results are provided to validate the effectiveness of the proposed UAV trajectory design approaches.

Type: Proceedings paper
Title: Path Design for Portable Access Point in Joint Sensing and Communications under Energy Constraints
Event: 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)
Location: London, ECUADOR
Dates: 26 Sep 2022 - 29 Sep 2022
ISBN-13: 9781665454681
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/VTC2022-Fall57202.2022.10013006
Publisher version: https://doi.org/10.1109/VTC2022-Fall57202.2022.100...
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Cramér-Rao bound, joint sensing and communication, convex optimization
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10168567
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