Large Intelligent Surface for Positioning in Millimeter Wave MIMO Systems

[en] 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.

Disciplines :

Electrical & electronics engineering

Author, co-author :

He, Jiguang

Wymeersch, Henk

Kong, Long ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)

Silven, Olli

Juntti, Markku

External co-authors :

yes

Language :

English

Title :

Large Intelligent Surface for Positioning in Millimeter Wave MIMO Systems

Publication date :

2020

Event name :

2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)

Event date :

from 25-05-2020 to 28-05-2020

Audience :

International

Journal title :

2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)

Peer reviewed :

Peer reviewed

Additional URL :

https://ieeexplore.ieee.org/document/9129075

Available on ORBilu :

since 01 July 2020

Statistics

Number of views

79 (12 by Unilu)

Number of downloads

0 (0 by Unilu)

More statistics

Scopus citations^®

Scopus citations^®
without self-citations

Bibliography

A. Yassin, Y. Nasser, M. Awad, A. Al-Dubai, R. Liu, C. Yuen, R. Raulefs, and E. Aboutanios, "Recent advances in indoor localization: A survey on theoretical approaches and applications, " IEEE Commun. Surveys Tuts., vol. 19, no. 2, pp. 1327-1346, Secondquarter 2017.
V. Savic and E. G. Larsson, "Fingerprinting-based positioning in distributed massive MIMO systems, " in IEEE Vehicular Technology Conference (VTC2015-Fall), Sep. 2015, pp. 1-5.
X. Wang, L. Gao, S. Mao, and S. Pandey, "CSI-based fingerprinting for indoor localization: A deep learning approach, " IEEE Trans. Veh. Technol., vol. 66, no. 1, pp. 763-776, Jan 2017.
A. Shahmansoori, G. E. Garcia, G. Destino, G. Seco-Granados, and H. Wymeersch, "Position and orientation estimation through millimeterwave MIMO in 5G systems, " IEEE Trans. Wireless Commun., vol. 17, no. 3, pp. 1822-1835, Mar. 2018.
Z. Abu-Shaban, X. Zhou, T. Abhayapala, G. Seco-Granados, and H. Wymeersch, "Error bounds for uplink and downlink 3D localization in 5G millimeter wave systems, " IEEE Trans. Wireless Commun., vol. 17, no. 8, pp. 4939-4954, Aug 2018.
H. Zhao, L. Zhang, and Y. Shen, "On the optimal beamspace design for direct localization systems, " in proc. of IEEE International Conference on Communications (ICC), May 2018, pp. 1-6.
R. Koirala, B. Denis, B. Uguen, D. Dardari, and H. Wymeersch, "Localization optimal multi-user beamforming with multi-carrier mmwave MIMO, " in proc. of IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Sep. 2018, pp. 1-7.
A. Kakkavas, G. Seco-Granados, H. Wymeersch, M. H. C. García, R. A. Stirling-Gallacher, and J. A. Nossek, "5G downlink multi-beam signal design for LOS positioning, " in IEEE Globecom, Dec. 2019, pp. 1-6.
C. Huang, A. Zappone, G. C. Alexandropoulos, M. Debbah, and C. Yuen, "Large intelligent surfaces for energy efficiency in wireless communication, " CoRR, vol. abs/1810. 06934, 2018. [Online]. Available: http://arxiv. org/abs/1810. 06934
E. Basar, M. Di Renzo, J. de Rosny, M. Debbah, M.-S. Alouini, and R. Zhang, "Wireless Communications Through Reconfigurable Intelligent Surfaces, " arXiv e-prints, p. arXiv:1906. 09490, Jun 2019.
S. Hu, F. Rusek, and O. Edfors, "Beyond massive MIMO: The potential of positioning with large intelligent surfaces, " IEEE Trans. Signal Process., vol. 66, no. 7, pp. 1761-1774, Apr 2018.
D. L. Donoho, "Compressed sensing, " IEEE Trans. Inf. Theory, vol. 52, no. 4, pp. 1289-1306, Apr 2006.
G. Hannak, A. Perelli, N. Goertz, G. Matz, and M. E. Davies, "Performance analysis of approximate message passing for distributed compressed sensing, " IEEE J. Sel. Topics Signal Process., vol. 12, no. 5, pp. 857-870, Oct 2018.
T. S. Rappaport, S. Sun, R. Mayzus, H. Zhao, Y. Azar, K. Wang, G. N. Wong, J. K. Schulz, M. Samimi, and F. Gutierrez, "Millimeter wave mobile communications for 5G cellular: It will work!" IEEE Access, vol. 1, pp. 335-349, 2013.