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J. He, H. Wymeersch, L. Kong, O. Silvén and M. Juntti, "Large Intelligent Surface for Positioning in Millimeter Wave MIMO Systems," 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), Antwerp, Belgium, 2020, pp. 1-5, doi: 10.1109/VTC2020-Spring48590.2020.9129075

Large intelligent surface for positioning in millimeter wave MIMO systems

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Author: He, Jiguang1; Wymeersch, Henk2; Kong, Long3;
Organizations: 1Centre for Wireless Communications, FI-90014, University of Oulu, Finland
2Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden
3Interdisciplinary Centre for Security Reliablility and Trust (SnT), University of Luxembourg, Luxembourg
4Center for Machine Vision and Signal Analysis (CMVS), FI-90014, University of Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.5 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2020081760615
Language: English
Published: Institute of Electrical and Electronics Engineers, 2020
Publish Date: 2020-08-17
Description:

Abstract

Millimeter-wave (mmWave) multiple-input multiple-output (MIMO) system for the fifth generation (5G) cellular communications can also enable single-anchor positioning and object tracking due to its large bandwidth and inherently high angular resolution. In this paper, we introduce the newly invented concept, large intelligent surface (LIS), to mmWave positioning systems, study the theoretical performance bounds (i.e., Cramér-Rao lower bounds) for positioning, and evaluate the impact of the number of LIS elements and the value of phase shifters on the position estimation accuracy compared to the conventional scheme with one direct link and one non-line-of-sight path. It is verified that better performance can be achieved with a LIS from the theoretical analyses and numerical study.

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Series: IEEE Vehicular Technology Conference
ISSN: 1090-3038
ISSN-L: 1090-3038
ISBN: 978-1-7281-5207-3
ISBN Print: 978-1-7281-4053-7
Pages: 1 - 5
DOI: 10.1109/VTC2020-Spring48590.2020.9129075
OADOI: https://oadoi.org/10.1109/VTC2020-Spring48590.2020.9129075
Host publication: 2020 IEEE 91st Vehicular Technology Conference (VTC Spring) : Proceedings
Conference: IEEE Vehicular Technology Conference
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
Article
Funding: This work has been performed in the framework of the IIoT Connectivity for Mechanical Systems (ICONICAL), funded by the Academy of Finland. This work is also partially supported by the Academy of Finland 6Genesis Flagship (grant 318927) and Swedish Research Council (grant no. 2018-03701).
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
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