J. Saloranta, G. Destino, A. Tölli and H. Wymeersch, "Novel Solution for Multi-connectivity 5G-mmW Positioning," 2018 52nd Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 2018, pp. 537-540. doi: 10.1109/ACSSC.2018.8645544
Novel solution for multi-connectivity 5G-mmW positioning
|Author:||Saloranta, Jani1; Destino, Giuseppe1,2; Tölli, Antti1;|
1University of Oulu, Oulu, Finland
2King’s College London, London, United Kingdom
3Chalmers University of Technology, Gothenburg, Sweden
|Online Access:||PDF Full Text (PDF, 0.3 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2019081324067
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2019-08-13
The forthcoming fifth generation (5G) systems with high beamforming gain antenna units, millimeter-wave (mmWave) frequency bands together with massive Multiple Input Multiple Output (MIMO) techniques are key components for accurate positioning methods. In this paper, we propose the positioning technique that is relying on the sparsity in the MIMO-OFDM channel in time and spatial domains, together with effective beamforming methods. We will study the proposed solution in a multi-connectivity context, which has been considered so far for the purpose of improving the user equipment (UE) communication data rate. We utilize the multi-connectivity for positioning, in order to improve robustness to measurement errors and increase positioning service continuity. In particular, we show that when a UE that has connectivity to more base stations, the total power and delay needed for positioning can be reduced.
Asilomar Conference on Signals, Systems & Computers
|Pages:||537 - 540|
2018 52nd Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA
Asilomar Conference on Signals, Systems and Computers
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
112 Statistics and probability
The research leading to these results has received funding from the Academy of Finland projects 6Genesis Flagship (Grant No. 318927), Fundamental of Simultaneous Localization and Communications (FALCON), and Positioning-aided Reliably-connected Industrial Systems with Mobile mmWave Access (PRISMA), by the EU H2020 project 5GCAR, and the VINNOVA COPPLAR project, funded under Strategic Vehicle Research and Innovation (Grant No. 2015-04849).
|Academy of Finland Grant Number:||
318927 (Academy of Finland Funding decision)
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