Abstract
High-accuracy positioning enables emerging of new vertical markets for the forthcoming fifth generation (5G) mobile networks. In this paper, we study network-side positioning and related location-based beamforming for high-speed train (HST) scenario in 5G New Radio (NR) networks. To avoid tight synchronization requirements between the train and the network, we consider Time-Difference-Of-Arrival (TDOA) measurements based on 5G NR uplink sounding reference signals. Moreover, in order to facilitate the location-based beamforming, we introduce methods for removing measurement outliers and for selecting the optimal reference measurement for the time-difference evaluations. The train is tracked by utilizing Extended Kalman Filter (EKF), which is capable to track and predict the train position for the location-based beamformer in real-time. Based on results obtained from extensive 5G NR compliant simulations, the proposed approach is able to achieve a sub-meter positioning accuracy with 90% availability, which is sufficient for many mission-critical positioning applications in the considered HST scenario.
| Original language | English |
|---|---|
| Title of host publication | 2018 IEEE Globecom Workshops (GC Wkshps) |
| Subtitle of host publication | 7th International Workshop on Emerging Technologies for 5G and Beyond Wireless and Mobile Networks (ET5GB) |
| Publisher | IEEE |
| Number of pages | 7 |
| ISBN (Electronic) | 978-1-5386-4920-6 |
| ISBN (Print) | 978-1-5386-4921-3 |
| DOIs | |
| Publication status | Published - Dec 2018 |
| Publication type | A4 Article in conference proceedings |
| Event | IEEE Globecom Workshops - Duration: 1 Jan 2000 → … |
Conference
| Conference | IEEE Globecom Workshops |
|---|---|
| Period | 1/01/00 → … |
Publication forum classification
- Publication forum level 1