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.
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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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