Enabling Ubiquitous Wi-Fi Sensing with Beamforming Reports

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

3 Scopus Citations
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Detail(s)

Original languageEnglish
Title of host publicationSIGCOMM '23: Proceedings of the ACM SIGCOMM 2023 Conference
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery (ACM)
Pages20-32
ISBN (print)979-8-4007-0236-5
Publication statusPublished - 2023

Publication series

NameSIGCOMM - Proceedings of the ACM SIGCOMM Conference

Conference

Title37th ACM SIGCOMM (ACM SIGCOMM 2023)
LocationColumbia University
PlaceUnited States
CityNew York City
Period10 - 14 September 2023

Abstract

Wi-Fi sensing systems leverage wireless signals from widely deployed Wi-Fi devices to realize sensing for a broad range of applications. However, current Wi-Fi sensing systems heavily rely on the channel state information (CSI) to learn the signal propagation characteristics, while the availability of CSI is highly dependent on specific Wi-Fi chipsets. Through a city-scale measurement, we discover that the availability of CSI is extremely limited in operational Wi-Fi devices. In this work, we propose a new wireless sensing system called BeamSense that exploits the compressed beamforming reports (CBR). Due to the extensive support of transmit beamforming in operational Wi-Fi devices, CBR is commonly accessible and hence enables a ubiquitous sensing capability. BeamSense adopts a novel multi-path estimation algorithm that can efficiently and accurately map bidirectional CBR to a multi-path channel based on intrinsic fingerprints. We implement BeamSense on several prevalent models of Wi-Fi devices and evaluated its performance with microbenchmarks and three representative Wi-Fi sensing applications. The results show that BeamSense is capable of enabling existing CSI-based sensing algorithms to work with CBR with high sensing accuracy and improved generalizability. © 2023 ACM.

Citation Format(s)

Enabling Ubiquitous Wi-Fi Sensing with Beamforming Reports. / Wu, Chenhao; Huang, Xuan; Huang, Jun et al.
SIGCOMM '23: Proceedings of the ACM SIGCOMM 2023 Conference. New York, NY: Association for Computing Machinery (ACM), 2023. p. 20-32 (SIGCOMM - Proceedings of the ACM SIGCOMM Conference).

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review