eprintid: 10191309 rev_number: 7 eprint_status: archive userid: 699 dir: disk0/10/19/13/09 datestamp: 2024-04-25 09:23:13 lastmod: 2024-04-25 09:23:13 status_changed: 2024-04-25 09:23:13 type: proceedings_section metadata_visibility: show sword_depositor: 699 creators_name: Meng, K creators_name: Wu, Q creators_name: Chen, W creators_name: Li, D title: Vehicle-Mounted Intelligent Surface for Cooperative Localization in Cellular Networks ispublished: pub divisions: UCL divisions: B04 divisions: C05 divisions: F46 note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. 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. date: 2024-03-21 date_type: published publisher: IEEE official_url: http://dx.doi.org/10.1109/gcwkshps58843.2023.10464904 oa_status: green full_text_type: other language: eng primo: open primo_central: open_green verified: verified_manual elements_id: 2270127 doi: 10.1109/GCWkshps58843.2023.10464904 isbn_13: 9798350370218 lyricists_name: Meng, Kaitao lyricists_id: KMENG45 actors_name: Meng, Kaitao actors_id: KMENG45 actors_role: owner full_text_status: public pres_type: paper publication: 2023 IEEE Globecom Workshops, GC Wkshps 2023 place_of_pub: Kuala Lumpur, Malaysia pagerange: 1904-1909 event_title: 2023 IEEE Globecom Workshops (GC Wkshps) event_dates: 4 Dec 2023 - 8 Dec 2023 book_title: 2023 IEEE Globecom Workshops, GC Wkshps 2023 citation: 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 document_url: https://discovery.ucl.ac.uk/id/eprint/10191309/1/Distributed%20BS%20for%20IRS%20Localization%20-%20conference.pdf