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Sensors 2018, 18(10), 3220; https://doi.org/10.3390/s18103220

Methodology for Simulating 5G and GNSS High-Accuracy Positioning

1
Department of Telecommunications and Systems Engineering, Universitat Autònoma de Barcelona, 08193 Cerdanyola del Vallès, Spain
2
Centre for Wireless Communications, University of Oulu, 90014 Oulu, Finland
3
Centre for Telecommunication Research, King’s College London, London WC2 R2LF, UK
*
Author to whom correspondence should be addressed.
Received: 8 July 2018 / Revised: 14 September 2018 / Accepted: 20 September 2018 / Published: 24 September 2018
(This article belongs to the Special Issue GNSS and Fusion with Other Sensors)
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Abstract

This paper focuses on the exploitation of fifth generation (5G) centimetre-wave (cmWave) and millimetre-wave (mmWave) transmissions for high-accuracy positioning, in order to complement the availability of Global Navigation Satellite Systems (GNSS) in harsh environments, such as urban canyons. Our goal is to present a representative methodology to simulate and assess their hybrid positioning capabilities over outdoor urban, suburban and rural scenarios. A novel scenario definition is proposed to integrate the network density of 5G deployments with the visibility masks of GNSS satellites, which helps to generate correlated scenarios of both technologies. Then, a generic and representative modeling of the 5G and GNSS observables is presented for snapshot positioning, which is suitable for standard protocols. The simulations results indicate that GNSS drives the achievable accuracy of its hybridisation with 5G cmWave, because non-line-of-sight (NLoS) conditions can limit the cmWave localization accuracy to around 20 m. The 5G performance is significantly improved with the use of mmWave positioning with dominant line-of-sight (LoS) conditions, which can even achieve sub-meter localization with one or more base stations. Therefore, these results show that NLoS conditions need to be weighted in 5G localization, in order to complement and outperform GNSS positioning over urban environments. View Full-Text
Keywords: GNSS; 5G positioning; cmWave; mmWave; hybrid localization GNSS; 5G positioning; cmWave; mmWave; hybrid localization
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Del Peral-Rosado, J.A.; Saloranta, J.; Destino, G.; López-Salcedo, J.A.; Seco-Granados, G. Methodology for Simulating 5G and GNSS High-Accuracy Positioning. Sensors 2018, 18, 3220.

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