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Vehicle-Mounted Intelligent Surface for Cooperative Localization in Cellular Networks

Meng, K; Wu, Q; Chen, W; Li, D; (2024) Vehicle-Mounted Intelligent Surface for Cooperative Localization in Cellular Networks. In: 2023 IEEE Globecom Workshops, GC Wkshps 2023. (pp. pp. 1904-1909). IEEE: Kuala Lumpur, Malaysia. Green open access

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Abstract

Due to the continuous increase in the communication frequency band of the sixth-generation (6G) wireless communication network, it can potentially provide positioning services for applications such as intelligent transportation. However, limited radar cross sections of vehicles may result in too weak echo signals and incorrect measurement associations, especially for base stations (BSs) with low transmit power. To tackle this issue, we propose a novel cooperative localization scheme in cellular networks, where the controllable signal reflection capabilities of intelligent reflecting surfaces (IRSs) are utilized to facilitate target association. Specifically, IRSs are mounted on the vehicles to enhance the echo signals towards the associated BS while reducing interference with other BSs. We aim to minimize the maximum Cramer-Rao lower bound (CRLB) of location errors by jointly optimizing target association, IRS phase shifts, and dwell time. However, solving this CRLB optimization problem is non-trivial due to the non-convex objective function. To this end, we transform the problem for single-vehicle localization into a monotonic optimization problem, thereby optimally solving it through the Polyblock-based algorithm. For multi-vehicle localization, we propose a heuristic algorithm to efficiently optimize the target association and dwell time allocation. Finally, our simulation results verify that deploying IRSs on vehicles can effectively improve the resolution ability of multi-vehicle positioning and reduce the BS number requirements.

Type: Proceedings paper
Title: Vehicle-Mounted Intelligent Surface for Cooperative Localization in Cellular Networks
Event: 2023 IEEE Globecom Workshops (GC Wkshps)
Dates: 4 Dec 2023 - 8 Dec 2023
ISBN-13: 9798350370218
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/GCWkshps58843.2023.10464904
Publisher version: http://dx.doi.org/10.1109/gcwkshps58843.2023.10464...
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.
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.ucl.ac.uk/id/eprint/10191309
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