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OmniScatter: extreme sensitivity mmWave backscattering using commodity FMCW radar

Authors:

Song Min KimAuthors Info & Claims

MobiSys '22: Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services

Pages 316 - 329

https://doi.org/10.1145/3498361.3538924

Published: 27 June 2022 Publication History

Abstract

Massive connectivity is a key to the success of the Internet of Things. While mmWave backscatter has great potential, substantial signal attenuation and overwhelming ambient reflections impose significant challenges. We present OmniScatter, a practical mmWave backscatter with an extreme sensitivity of -115 dBm. The performance is theoretically comparable to the popular commodity RFID EPC Gen2 (900 MHz), and is empirically validated via evaluations under various practical settings with abundant ambient reflections and blockages - e.g., In an office where a tag is locked in a wooden closet 6m away, as well in libraries and retail stores where a tag is placed across two rows of metal shelves. At the heart of OmniScatter is the new High Definition FMCW (HD-FMCW), which interplays with the tag (FSK) signal to disentangle the ambient reflections from the tag signal in the frequency domain, essentially offering immunity to ambient reflections. To further support practical deployment, OmniScatter offers coordination-free Frequency Division Multiple Access (FDMA) that effortlessly scales to thousands of concurrent tags. The readers were built on commodity radars and the tags were prototyped on PCB. The trace-driven evaluation demonstrates concurrent communication of 1100 tags with the BER < 1.5%, paving a pathway towards practical mmWave backscatter for everyday and anywhere use.

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Cited By

Okubo RJacobs LWang JBowers SSoltanaghai ESekar VYu MSeneviratne AVeitch D(2024)Integrated Two-way Radar Backscatter Communication and Sensing with Low-power IoT TagsProceedings of the ACM SIGCOMM 2024 Conference10.1145/3651890.3672226(327-339)Online publication date: 4-Aug-2024
https://dl.acm.org/doi/10.1145/3651890.3672226
Bae KMoon HKim SOkoshi TKo JLiKamWa R(2024)SuperSight: Sub-cm NLOS Localization for mmWave BackscatterProceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services10.1145/3643832.3661857(278-291)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3643832.3661857
Huang RZhao RMa YZhang PGanesan DLane NShi W(2024)Ultra-WideBand Backscatter Towards Multipath-resilient Passive IoT LocalizationProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3698844(1739-1741)Online publication date: 4-Dec-2024
https://dl.acm.org/doi/10.1145/3636534.3698844
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Index Terms

OmniScatter: extreme sensitivity mmWave backscattering using commodity FMCW radar
1. Networks
  1. Network properties

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cover image ACM Conferences

MobiSys '22: Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services

June 2022

668 pages

ISBN:9781450391856

DOI:10.1145/3498361

General Chairs:
Nirupama Bulusu
Portland State University
,
Ehsan Aryafar
Portland State University
,
Program Chairs:
Aruna Balasubramanian
Stony Brook University
,
Junehwa Song
KAIST

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Published: 27 June 2022

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MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program supervised by the IITP (Institute of Information \& Communications Technology Planning \& Evaluation)

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MobiSys '22: The 20th Annual International Conference on Mobile Systems, Applications and Services

June 27 - July 1, 2022

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Cited By

Okubo RJacobs LWang JBowers SSoltanaghai ESekar VYu MSeneviratne AVeitch D(2024)Integrated Two-way Radar Backscatter Communication and Sensing with Low-power IoT TagsProceedings of the ACM SIGCOMM 2024 Conference10.1145/3651890.3672226(327-339)Online publication date: 4-Aug-2024
https://dl.acm.org/doi/10.1145/3651890.3672226
Bae KMoon HKim SOkoshi TKo JLiKamWa R(2024)SuperSight: Sub-cm NLOS Localization for mmWave BackscatterProceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services10.1145/3643832.3661857(278-291)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3643832.3661857
Huang RZhao RMa YZhang PGanesan DLane NShi W(2024)Ultra-WideBand Backscatter Towards Multipath-resilient Passive IoT LocalizationProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3698844(1739-1741)Online publication date: 4-Dec-2024
https://dl.acm.org/doi/10.1145/3636534.3698844
Qin QChen KXie YLuo HFang DChen XGanesan DLane NShi W(2024)Pushing the Throughput Limit of OFDM-based Wi-Fi Backscatter CommunicationProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3690672(968-983)Online publication date: 4-Dec-2024
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Chen WYang WGong W(2024)A survey of millimeter wave backscatter communication systemsComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2024.110235242:COnline publication date: 2-Jul-2024
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Cui KYang QZheng YHan J(2023)mmRipple: Communicating with mmWave Radars through Smartphone VibrationProceedings of the 22nd International Conference on Information Processing in Sensor Networks10.1145/3583120.3586956(149-162)Online publication date: 9-May-2023
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Dunna MBansal KGanesh SPatamasing EBharadia D(2023)R-fiducial: Millimeter Wave Radar Fiducials for Sensing Traffic Infrastructure2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)10.1109/VTC2023-Spring57618.2023.10199374(1-7)Online publication date: Jun-2023
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