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               <dc:title>5GNSS: fusion of 5G-NR and GNSS localization for enhanced positioning accuracy and reliability</dc:title>
               <dc:creator>Campolo, Federico</dc:creator>
               <dc:creator>Blaga, Andra</dc:creator>
               <dc:creator>Rea, Maurizio</dc:creator>
               <dc:creator>Lozano Solsona, Angel</dc:creator>
               <dc:creator>Costa-Perez, Xavier</dc:creator>
               <dc:subject>5G-NR</dc:subject>
               <dc:subject>Autonomous driving</dc:subject>
               <dc:subject>GNSS</dc:subject>
               <dc:subject>GNSS/5G integrated positioning</dc:subject>
               <dc:subject>PRS</dc:subject>
               <dc:description>With the proliferation of connected devices and the increasing demand for more precise and reliable positioning information, the of 5 G and GNSS localization systems holds immense potential to overcome the current limitations of standalone approaches. In order to tackle this challenge, in this paper we explore the potential of the fusion of 5G-NR and satellite localization systems to jointly enhance their accuracy and reliability. The designed solution, termed , is explained in detail, describing its five main building blocks and corresponding mathematical foundations. An extensive performance evaluation has been conducted, considering urban, suburban, and rural vehicular scenarios, as well as a varying number of visible satellites and 5 G base stations. Our results show that 5GNSS can outperform standalone GNSS, 4G-LTE and 5G-NR positioning systems consistently across all these scenarios with an average error reduction in the 60-40% range. Based on these results, we conclude that future positioning systems would strongly benefit from incorporating 5GNSS-like fusion solutions.</dc:description>
               <dc:date>2026-03-31T17:20:38Z</dc:date>
               <dc:date>2026-03-31T17:20:38Z</dc:date>
               <dc:date>2026-03-30T09:33:45Z</dc:date>
               <dc:date>2026-03-30T09:33:45Z</dc:date>
               <dc:date>2024</dc:date>
               <dc:date>2026-03-30T09:33:45Z</dc:date>
               <dc:type>info:eu-repo/semantics/article</dc:type>
               <dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
               <dc:identifier>https://hdl.handle.net/10230/72916</dc:identifier>
               <dc:relation>IEEE Transactions on Vehicular Technology. 2024;73(9):13558-68</dc:relation>
               <dc:rights>©  2024 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.</dc:rights>
               <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
               <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
               <dc:publisher>Institute of Electrical and Electronics Engineers (IEEE)</dc:publisher>
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