Demo: UE Assisted Ambient IoT in LTE Downlink, in real-time and open source

Jingyi Liao; Kalle Ruttik; Riku Jäntti; Dinh-Thuy Phan-Huy

doi:10.1145/3581791.3597285

Demo: UE Assisted Ambient IoT in LTE Downlink, in real-time and open source

Jingyi Liao^*, Kalle Ruttik, Riku Jäntti, Dinh-Thuy Phan-Huy

^*Corresponding author for this work

Orange Innovation

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

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Abstract

Ambient power enabled Internet of Things a.k.a. Ambient IoT is a novel concept connecting battery-free energy autonomous devices to the Internet. In this paper, we demonstrate the feasibility of using the channel estimator at the user equipment (UE) as a receiver for backscatter signals in LTE downlink. Our real-time demonstrator system consists of signal generator that mimics the operation of a base station (BS), a backscatter device (BD) modulating the incidence signal, and a software defined radio receiver that plays the role of the user equipment. The UE channel estimator and BD demodulation software is implemented with C++ and Python, respectively and made open source. Our results indicate that UE can demodulate the BD signal with bit error less than 10-3 when the downlink signal-to-noise ratio is larger than 10 dB when the pathloss between the BD and UE is less than 13 dB.

Original language	English
Title of host publication	Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services
Place of Publication	Helsinki
Publisher	ACM
Pages	588-589
Number of pages	2
ISBN (Electronic)	979-8-4007-0110-8
DOIs	https://doi.org/10.1145/3581791.3597285
Publication status	Published - 18 Jun 2023
MoE publication type	A4 Conference publication
Event	International Conference on Mobile Systems, Applications, and Services - Helsinki, Finland Duration: 18 Jun 2023 → 22 Jun 2023 Conference number: 21

Conference

Conference	International Conference on Mobile Systems, Applications, and Services
Abbreviated title	MobiSys
Country/Territory	Finland
City	Helsinki
Period	18/06/2023 → 22/06/2023

Keywords

ambient backscatter communication
IoT
LTE

Access to Document

10.1145/3581791.3597285

mobisys23demosvideos-paper3Accepted author manuscript, 326 KB

1 Finished
1 Active

-: HEXA-X-II/T40702
Jäntti, R. (Principal investigator)
01/01/2023 → 30/06/2025
Project: EU: Framework programmes funding
6G-eMTC: Extreme Machine Type Communications for 6G
Jäntti, R. (Principal investigator)
01/01/2023 → 31/12/2024
Project: BF Other

Cite this

@inproceedings{66436ce6234c4e0ebcb358847dde6cf2,

title = "Demo: UE Assisted Ambient IoT in LTE Downlink, in real-time and open source",

abstract = "Ambient power enabled Internet of Things a.k.a. Ambient IoT is a novel concept connecting battery-free energy autonomous devices to the Internet. In this paper, we demonstrate the feasibility of using the channel estimator at the user equipment (UE) as a receiver for backscatter signals in LTE downlink. Our real-time demonstrator system consists of signal generator that mimics the operation of a base station (BS), a backscatter device (BD) modulating the incidence signal, and a software defined radio receiver that plays the role of the user equipment. The UE channel estimator and BD demodulation software is implemented with C++ and Python, respectively and made open source. Our results indicate that UE can demodulate the BD signal with bit error less than 10-3 when the downlink signal-to-noise ratio is larger than 10 dB when the pathloss between the BD and UE is less than 13 dB.",

keywords = "ambient backscatter communication, IoT, LTE",

author = "Jingyi Liao and Kalle Ruttik and Riku J{\"a}ntti and Dinh-Thuy Phan-Huy",

note = "| openaire: EC/HE/101095759/EU//Hexa-X-II; International Conference on Mobile Systems, Applications, and Services, MobiSys ; Conference date: 18-06-2023 Through 22-06-2023",

year = "2023",

month = jun,

day = "18",

doi = "10.1145/3581791.3597285",

language = "English",

pages = "588--589",

booktitle = "Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services",

publisher = "ACM",

address = "United States",

}

Liao, J , Ruttik, K , Jäntti, R & Phan-Huy, D-T 2023, Demo: UE Assisted Ambient IoT in LTE Downlink, in real-time and open source. in Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services. ACM, Helsinki, pp. 588-589, International Conference on Mobile Systems, Applications, and Services, Helsinki, Finland, 18/06/2023. https://doi.org/10.1145/3581791.3597285

Demo: UE Assisted Ambient IoT in LTE Downlink, in real-time and open source. / Liao, Jingyi ; Ruttik, Kalle ; Jäntti, Riku et al.
Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services. Helsinki: ACM, 2023. p. 588-589.

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

TY - GEN

T1 - Demo: UE Assisted Ambient IoT in LTE Downlink, in real-time and open source

AU - Liao, Jingyi

AU - Ruttik, Kalle

AU - Jäntti, Riku

AU - Phan-Huy, Dinh-Thuy

N1 - Conference code: 21

PY - 2023/6/18

Y1 - 2023/6/18

N2 - Ambient power enabled Internet of Things a.k.a. Ambient IoT is a novel concept connecting battery-free energy autonomous devices to the Internet. In this paper, we demonstrate the feasibility of using the channel estimator at the user equipment (UE) as a receiver for backscatter signals in LTE downlink. Our real-time demonstrator system consists of signal generator that mimics the operation of a base station (BS), a backscatter device (BD) modulating the incidence signal, and a software defined radio receiver that plays the role of the user equipment. The UE channel estimator and BD demodulation software is implemented with C++ and Python, respectively and made open source. Our results indicate that UE can demodulate the BD signal with bit error less than 10-3 when the downlink signal-to-noise ratio is larger than 10 dB when the pathloss between the BD and UE is less than 13 dB.

AB - Ambient power enabled Internet of Things a.k.a. Ambient IoT is a novel concept connecting battery-free energy autonomous devices to the Internet. In this paper, we demonstrate the feasibility of using the channel estimator at the user equipment (UE) as a receiver for backscatter signals in LTE downlink. Our real-time demonstrator system consists of signal generator that mimics the operation of a base station (BS), a backscatter device (BD) modulating the incidence signal, and a software defined radio receiver that plays the role of the user equipment. The UE channel estimator and BD demodulation software is implemented with C++ and Python, respectively and made open source. Our results indicate that UE can demodulate the BD signal with bit error less than 10-3 when the downlink signal-to-noise ratio is larger than 10 dB when the pathloss between the BD and UE is less than 13 dB.

KW - ambient backscatter communication

KW - IoT

KW - LTE

U2 - 10.1145/3581791.3597285

DO - 10.1145/3581791.3597285

M3 - Conference article in proceedings

SP - 588

EP - 589

BT - Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services

PB - ACM

CY - Helsinki

T2 - International Conference on Mobile Systems, Applications, and Services

Y2 - 18 June 2023 through 22 June 2023

ER -

Demo: UE Assisted Ambient IoT in LTE Downlink, in real-time and open source

Abstract

Conference

Keywords

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Projects

-: HEXA-X-II/T40702

6G-eMTC: Extreme Machine Type Communications for 6G

Cite this