A Three-State Received Signal Strength Model for Integrated Sensing and Backscatter Communication

Boxuan Xie; Xiyu Wang; Hüseyin Yiğitler; Kalle Ruttik; Riku Jäntti

doi:10.1109/GCWkshps58843.2023.10465190

A Three-State Received Signal Strength Model for Integrated Sensing and Backscatter Communication

Boxuan Xie, Xiyu Wang, Hüseyin Yiğitler, Kalle Ruttik, Riku Jäntti

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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Abstract

Backscatter communication (BC) can enable nar-rowband radio frequency (RF) sensing with lower power con-sumption and lower system complexity compared with conventional sensing systems with active transmitter-receiver (TX -RX) pairs. To integrate sensing in the BC scenario, this paper investi-gates the impact of human position on the received signal strength (RSS). We first derive a new RSS model for the BC scenario based on three states: non-fading, reflection, and shadowing, depending on the location of the person with respect to line-of-sight (LoS) link. We validate the model by indoor measurements and compare it with the three-state model of the active TX-RX scenario. The measurements show that the proposed model accurately predicts human-induced RSS changes. Furthermore, we observe that human-induced RSS variances in the BC scheme are higher than those in the TX-RX scenario, benefiting variance-based sensing methods. Therefore, the proposed model can be implemented in low-power BC-enabled device-free sensing applications, such as human presence detection and device-free localization.

Original language	English
Title of host publication	2023 IEEE Globecom Workshops, GC Wkshps 2023
Publisher	IEEE
Pages	98-103
Number of pages	6
ISBN (Electronic)	979-8-3503-7021-8
DOIs	https://doi.org/10.1109/GCWkshps58843.2023.10465190
Publication status	Published - 21 Mar 2024
MoE publication type	A4 Conference publication
Event	IEEE Globecom Workshops - Kuala Lumpur, Malaysia Duration: 4 Dec 2023 → 8 Dec 2023

Publication series

Name	2023 IEEE Globecom Workshops, GC Wkshps 2023

Workshop

Workshop	IEEE Globecom Workshops
Abbreviated title	GC Wkshps
Country/Territory	Malaysia
City	Kuala Lumpur
Period	04/12/2023 → 08/12/2023

Keywords

Backscatter communication
device-free localization
human presence detection
received signal strength

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10.1109/GCWkshps58843.2023.10465190

A_Three_State_Received_Signal_Strength_Model_for_Integrated_Sensing_and_Backscatter_CommunicationAccepted author manuscript, 14.3 MB

Cite this

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title = "A Three-State Received Signal Strength Model for Integrated Sensing and Backscatter Communication",

abstract = "Backscatter communication (BC) can enable nar-rowband radio frequency (RF) sensing with lower power con-sumption and lower system complexity compared with conventional sensing systems with active transmitter-receiver (TX -RX) pairs. To integrate sensing in the BC scenario, this paper investi-gates the impact of human position on the received signal strength (RSS). We first derive a new RSS model for the BC scenario based on three states: non-fading, reflection, and shadowing, depending on the location of the person with respect to line-of-sight (LoS) link. We validate the model by indoor measurements and compare it with the three-state model of the active TX-RX scenario. The measurements show that the proposed model accurately predicts human-induced RSS changes. Furthermore, we observe that human-induced RSS variances in the BC scheme are higher than those in the TX-RX scenario, benefiting variance-based sensing methods. Therefore, the proposed model can be implemented in low-power BC-enabled device-free sensing applications, such as human presence detection and device-free localization.",

keywords = "Backscatter communication, device-free localization, human presence detection, received signal strength",

author = "Boxuan Xie and Xiyu Wang and H{\"u}seyin Yiğitler and Kalle Ruttik and Riku J{\"a}ntti",

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doi = "10.1109/GCWkshps58843.2023.10465190",

language = "English",

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Xie, B, Wang, X, Yiğitler, H , Ruttik, K & Jäntti, R 2024, A Three-State Received Signal Strength Model for Integrated Sensing and Backscatter Communication. in 2023 IEEE Globecom Workshops, GC Wkshps 2023. 2023 IEEE Globecom Workshops, GC Wkshps 2023, IEEE, pp. 98-103, IEEE Globecom Workshops, Kuala Lumpur, Malaysia, 04/12/2023. https://doi.org/10.1109/GCWkshps58843.2023.10465190

A Three-State Received Signal Strength Model for Integrated Sensing and Backscatter Communication. / Xie, Boxuan; Wang, Xiyu; Yiğitler, Hüseyin et al.
2023 IEEE Globecom Workshops, GC Wkshps 2023. IEEE, 2024. p. 98-103 (2023 IEEE Globecom Workshops, GC Wkshps 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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AU - Jäntti, Riku

PY - 2024/3/21

Y1 - 2024/3/21

N2 - Backscatter communication (BC) can enable nar-rowband radio frequency (RF) sensing with lower power con-sumption and lower system complexity compared with conventional sensing systems with active transmitter-receiver (TX -RX) pairs. To integrate sensing in the BC scenario, this paper investi-gates the impact of human position on the received signal strength (RSS). We first derive a new RSS model for the BC scenario based on three states: non-fading, reflection, and shadowing, depending on the location of the person with respect to line-of-sight (LoS) link. We validate the model by indoor measurements and compare it with the three-state model of the active TX-RX scenario. The measurements show that the proposed model accurately predicts human-induced RSS changes. Furthermore, we observe that human-induced RSS variances in the BC scheme are higher than those in the TX-RX scenario, benefiting variance-based sensing methods. Therefore, the proposed model can be implemented in low-power BC-enabled device-free sensing applications, such as human presence detection and device-free localization.

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Y2 - 4 December 2023 through 8 December 2023

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A Three-State Received Signal Strength Model for Integrated Sensing and Backscatter Communication

Abstract

Publication series

Workshop

Keywords

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BESIMAL: Backscatter enabled sustainable monitoring Infrastructure for assisted living (BESIMAL)

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A Three-State Received Signal Strength Model for Integrated Sensing and Backscatter Communication

Abstract

Publication series

Workshop

Keywords

Access to Document

Other files and links

Fingerprint

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BESIMAL: Backscatter enabled sustainable monitoring Infrastructure for assisted living (BESIMAL)

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