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Joint Localization and Predictive Beamforming in Vehicular Networks: Power Allocation Beyond Water-Filling

Liu, Fan; Masouros, Christos; (2021) Joint Localization and Predictive Beamforming in Vehicular Networks: Power Allocation Beyond Water-Filling. In: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). (pp. pp. 8393-8397). IEEE: Toronto, ON, Canada. Green open access

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Abstract

This paper explores tailored power allocation (PA) for dual functional radar-communication (DFRC) in the vehicle-to-infrastructure (V2I) network, where a road side unit (RSU) provides both localization and communication services to multiple vehicles. Going beyond classical communications-optimal water-filling solutions, we formulate a PA optimization problem, which minimizes the summation of the Cramér-Rao bound (CRB) for multiple vehicles, subject to downlink sum-rate constraint. We prove that the problem can be solved in closed-form for given sum-rate requirement regions. Numerical results demonstrate that our approach achieves significantly lower estimation errors while improving the communication rate, as compared to the classical water-filling.

Type: Proceedings paper
Title: Joint Localization and Predictive Beamforming in Vehicular Networks: Power Allocation Beyond Water-Filling
Event: ICASSP 2021
Location: ELECTR NETWORK
Dates: 6 Jun 2021 - 11 Jun 2021
ISBN-13: 978-1-7281-7606-2
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/ICASSP39728.2021.9414871
Publisher version: https://doi.org/10.1109/ICASSP39728.2021
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: Science & Technology, Technology, Acoustics, Computer Science, Artificial Intelligence, Computer Science, Software Engineering, Engineering, Electrical & Electronic, Imaging Science & Photographic Technology, Computer Science, Engineering, Vehicular network, mmWave, joint radar-communication, RADAR
UCL classification: 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
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL
URI: https://discovery.ucl.ac.uk/id/eprint/10144567
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