Radio Sensing with Large Intelligent Surface for 6G

Cristian J. Vaca-Rubio; Pablo Ramirez-Espinosa; Kimmo Kansanen; Zheng Hua Tan; Elisabeth De Carvalho

doi:10.1109/ICASSP49357.2023.10095766

Radio Sensing with Large Intelligent Surface for 6G

Cristian J. Vaca-Rubio^*, Pablo Ramirez-Espinosa, Kimmo Kansanen, Zheng Hua Tan, Elisabeth De Carvalho

^*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

2 Citations (Scopus)

Abstract

This paper leverages the potential of Large Intelligent Surfaces (LIS) for radio sensing in 6G wireless networks. By taking advantage of arbitrary communication signals occurring in the scenario, we apply direct processing to the output signal from the LIS to obtain a radio map that describes the physical presence of passive devices (scatterers, humans) which act as virtual sources due to the communication signal reflections. We then assess the usage of machine learning and computer vision methods including clustering, template matching and component labeling to extract meaningful information from these radio maps. As an exemplary use case, we evaluate this method for passive multi-human detection in an indoor setting. The results show that the presented method has high application potential as we are able to detect around 98% of humans passively even in quite unfavorable Signal-to-Noise Ratio (SNR) conditions.

Original language	English
Title of host publication	ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings
Publisher	IEEE (Institute of Electrical and Electronics Engineers)
Publication date	2023
Article number	10095766
ISBN (Electronic)	9781728163277
DOIs	https://doi.org/10.1109/ICASSP49357.2023.10095766
Publication status	Published - 2023
Event	48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023 - Rhodes Island, Greece Duration: 4 Jun 2023 → 10 Jun 2023

Conference

Conference	48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023
Country/Territory	Greece
City	Rhodes Island
Period	04/06/2023 → 10/06/2023
Sponsor	IEEE, IEEE Signal Processing Society

Series	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	2023-June
ISSN	1520-6149

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

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10.1109/ICASSP49357.2023.10095766

https://arxiv.org/pdf/2111.02783

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Cite this

Vaca-Rubio, C. J., Ramirez-Espinosa, P., Kansanen, K., Tan, Z. H., & Carvalho, E. D. (2023). Radio Sensing with Large Intelligent Surface for 6G. In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings Article 10095766 IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/ICASSP49357.2023.10095766

Vaca-Rubio, Cristian J. ; Ramirez-Espinosa, Pablo ; Kansanen, Kimmo et al. / Radio Sensing with Large Intelligent Surface for 6G. ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings. IEEE (Institute of Electrical and Electronics Engineers), 2023. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Vol. 2023-June).

@inproceedings{e9d395156d284902b79519c28087ce90,

title = "Radio Sensing with Large Intelligent Surface for 6G",

abstract = "This paper leverages the potential of Large Intelligent Surfaces (LIS) for radio sensing in 6G wireless networks. By taking advantage of arbitrary communication signals occurring in the scenario, we apply direct processing to the output signal from the LIS to obtain a radio map that describes the physical presence of passive devices (scatterers, humans) which act as virtual sources due to the communication signal reflections. We then assess the usage of machine learning and computer vision methods including clustering, template matching and component labeling to extract meaningful information from these radio maps. As an exemplary use case, we evaluate this method for passive multi-human detection in an indoor setting. The results show that the presented method has high application potential as we are able to detect around 98% of humans passively even in quite unfavorable Signal-to-Noise Ratio (SNR) conditions.",

author = "Vaca-Rubio, {Cristian J.} and Pablo Ramirez-Espinosa and Kimmo Kansanen and Tan, {Zheng Hua} and Carvalho, {Elisabeth De}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023 ; Conference date: 04-06-2023 Through 10-06-2023",

year = "2023",

doi = "10.1109/ICASSP49357.2023.10095766",

language = "English",

series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

publisher = "IEEE (Institute of Electrical and Electronics Engineers)",

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address = "United States",

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Vaca-Rubio, CJ, Ramirez-Espinosa, P, Kansanen, K, Tan, ZH & Carvalho, ED 2023, Radio Sensing with Large Intelligent Surface for 6G. in ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings., 10095766, IEEE (Institute of Electrical and Electronics Engineers), ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2023-June, 48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023, Rhodes Island, Greece, 04/06/2023. https://doi.org/10.1109/ICASSP49357.2023.10095766

Radio Sensing with Large Intelligent Surface for 6G. / Vaca-Rubio, Cristian J.; Ramirez-Espinosa, Pablo; Kansanen, Kimmo et al.
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings. IEEE (Institute of Electrical and Electronics Engineers), 2023. 10095766 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Vol. 2023-June).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Radio Sensing with Large Intelligent Surface for 6G

AU - Vaca-Rubio, Cristian J.

AU - Ramirez-Espinosa, Pablo

AU - Kansanen, Kimmo

AU - Tan, Zheng Hua

AU - Carvalho, Elisabeth De

PY - 2023

Y1 - 2023

N2 - This paper leverages the potential of Large Intelligent Surfaces (LIS) for radio sensing in 6G wireless networks. By taking advantage of arbitrary communication signals occurring in the scenario, we apply direct processing to the output signal from the LIS to obtain a radio map that describes the physical presence of passive devices (scatterers, humans) which act as virtual sources due to the communication signal reflections. We then assess the usage of machine learning and computer vision methods including clustering, template matching and component labeling to extract meaningful information from these radio maps. As an exemplary use case, we evaluate this method for passive multi-human detection in an indoor setting. The results show that the presented method has high application potential as we are able to detect around 98% of humans passively even in quite unfavorable Signal-to-Noise Ratio (SNR) conditions.

AB - This paper leverages the potential of Large Intelligent Surfaces (LIS) for radio sensing in 6G wireless networks. By taking advantage of arbitrary communication signals occurring in the scenario, we apply direct processing to the output signal from the LIS to obtain a radio map that describes the physical presence of passive devices (scatterers, humans) which act as virtual sources due to the communication signal reflections. We then assess the usage of machine learning and computer vision methods including clustering, template matching and component labeling to extract meaningful information from these radio maps. As an exemplary use case, we evaluate this method for passive multi-human detection in an indoor setting. The results show that the presented method has high application potential as we are able to detect around 98% of humans passively even in quite unfavorable Signal-to-Noise Ratio (SNR) conditions.

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T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

BT - ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings

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Vaca-Rubio CJ, Ramirez-Espinosa P, Kansanen K, Tan ZH, Carvalho ED. Radio Sensing with Large Intelligent Surface for 6G. In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings. IEEE (Institute of Electrical and Electronics Engineers). 2023. 10095766. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Vol. 2023-June). doi: 10.1109/ICASSP49357.2023.10095766

Radio Sensing with Large Intelligent Surface for 6G

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