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Methodology for Simulating 5G and GNSS High-Accuracy Positioning
José A Del Peral-Rosado1, Jani Saloranta2, Giuseppe Destino3,4
1Department of Telecommunications and Systems Engineering, Universitat Autònoma de Barcelona, 08193 Cerdanyola del Vallès, Spain. joseantonio.delperal@uab.cat.
This study explores using fifth-generation (5G) networks for precise positioning, especially in challenging urban areas. Results show 5G millimeter-wave (mmWave) offers sub-meter accuracy, outperforming Global Navigation Satellite Systems (GNSS) in certain conditions.
Area of Science:
- Engineering
- Computer Science
- Telecommunications
Background:
- Global Navigation Satellite Systems (GNSS) face limitations in urban environments due to signal blockage.
- Fifth-generation (5G) wireless technology offers new possibilities for high-accuracy positioning.
Purpose of the Study:
- To simulate and assess hybrid positioning capabilities using 5G (cmWave and mmWave) and GNSS.
- To develop a methodology for evaluating 5G/GNSS hybrid positioning in diverse urban, suburban, and rural scenarios.
Main Methods:
- Proposed a novel scenario definition integrating 5G network density and GNSS satellite visibility.
- Modeled 5G and GNSS observables for snapshot positioning.
- Simulated hybrid positioning performance across different environments.
Main Results:
- Global Navigation Satellite Systems (GNSS) accuracy limits hybrid performance with 5G cmWave, especially in non-line-of-sight (NLoS) conditions (approx. 20m).
- 5G mmWave positioning achieves sub-meter accuracy under line-of-sight (LoS) conditions, significantly improving performance.
- Non-line-of-sight (NLoS) conditions critically impact 5G localization accuracy.
Conclusions:
- Hybrid 5G/GNSS positioning shows potential for enhanced accuracy in urban environments.
- 5G mmWave, particularly with line-of-sight (LoS), offers superior positioning capabilities compared to GNSS alone.
- Weighting non-line-of-sight (NLoS) conditions is crucial for optimizing 5G localization to complement and surpass GNSS.
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