Wi-Fi Sensing Based on IEEE 802.11bf

Chen, Cheng; Song, Hao; Li, Qinghua; Meneghello, Francesca; Restuccia, Francesco; Cordeiro, Carlos

doi:10.1109/mcom.007.2200347

Cited by 25 publications

(6 citation statements)

References 9 publications

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“…CSI exhibits good sensing capabilities, and has relatively low implementation costs along with high sensing accuracy. Currently, the next-generation Wi-Fi standard task group IEEE 802.11bf [20] is actively embedding Wi-Fi awareness functions into the Wi-Fi standard. In IEEE 802.11bf, legacy devices are made to comply with traditional Wi-Fi standards such as IEEE 802.11ac/ax to enable Wi-Fi sensing.…”

Section: Related Workmentioning

confidence: 99%

Ship Bridge OOW Activity Status Detection Using Wi-Fi Beamforming Feedback Information

Chen,

Zhang,

Liu

et al. 2024

JMSE

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Officers on Watch (OOWs) of the ship’s bridge play a vital role in maritime navigation safety, monitoring the ship’s navigational status, and ensuring maritime safety. The status of inactive watch officers, such as fatigued driving and negligence on lookout, is one of the main causes of accidents. Intelligent technology for real-time perception and state evaluation of ship OOWs significantly reduces accidents caused by human factors. The traditional computer vision method is difficult to adapt to the complex environment of a ship bridge, and carries strong privacy risks. With the development of Internet of Things technology, sensing technology based on ubiquitous Wi-Fi devices provides a new way to accurately monitor the status of ship OOWs. In this paper, we use commercial off-the-shelf (COTS) Wi-Fi devices to propose a ship driving activity state detection method based on beamforming feedback information (BFI). Using wireless sensing data to sense the number of OOWs and their driving behavior realizes low-cost and high-precision detection of the behavioral status of the ship’s bridge watchkeeper. Experiments were conducted in a ship-driving simulation laboratory and on a real-world Yangtze River cruise ship. The experimental results demonstrate that our proposed method achieves 92.4% and 98.1% accuracy for tracking active status and estimating the number of OOWs, respectively.

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Section: Related Workmentioning

confidence: 99%

Ship Bridge OOW Activity Status Detection Using Wi-Fi Beamforming Feedback Information

Chen,

Zhang,

Liu

et al. 2024

JMSE

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“…3. However, the localization tasks cannot be performed when only one anchor (beacon or RIS) is visible to the UE (see the yellow triangular area around the point [3,3]…”

Section: Beacon-assisted Localizationmentioning

confidence: 99%

“…ISLAC is able to utilize communication infrastructures and signals to enable synergies with L&S for diverse applications. To this end, several standardization efforts and 3GPP activities have been recently studied, such as the definition of new radio positioning requirements, evaluation methodologies, and techniques (dependent on radio access technology and not), in TR 38.855 [2] as well as the development of WiFi sensing technology (in both sub-7 GHz and mmWave spectrum), in the IEEE 802.11bf standard [3].…”

Section: Introductionmentioning

confidence: 99%

RISs and Sidelink Communications in Smart Cities: The Key to Seamless Localization and Sensing

Chen,

Kim,

Ammous

et al. 2023

IEEE Commun. Mag.

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A smart city involves, among other elements, intelligent transportation, crowd monitoring, and digital twins, each of which requires information exchange via wireless communication links and localization of connected devices and passive objects (including people). Although localization and sensing (L&S) are envisioned as core functions of future communication systems, they have inherently different demands in terms of infrastructure compared to communications. Wireless communications generally requires a connection to only a single access point (AP), while L&S demand simultaneous line-of-sight propagation paths to several APs, which serve as location and orientation anchors. Hence, a smart city deployment optimized for communication will be insufficient to meet stringent L&S requirements. In this article, we argue that the emerging technologies of reconfigurable intelligent surfaces (RISs) and sidelink communications constitute the key to providing ubiquitous coverage for L&S in smart cities with low-cost and energy-efficient technical solutions. To this end, we propose and evaluate AP-coordinated and self-coordinated RIS-enabled L&S architectures and detail three groups of application scenarios, relying on low-complexity beacons, cooperative localization, and full-duplex transceivers. A list of practical issues and consequent open research challenges of the proposed L&S systems is also provided.

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“…While these mechanisms can be repurposed to some extent, some modifications need to be introduced to facilitate a sensing framework, for example, specifying that the channel sounding aims at performing sensing measurements, extending the Beam Refinement Protocol (BRP) for multiple users and enabling the report of sensing measurements. An overview of IEEE 802.11bf is given in [13], presenting simulation results to quantify the impact of quantization on the quality of the channel state information report in the sub 7 GHz bands, however, to the best of our knowledge, our contribution is the first one to not only present the main definition and features of IEEE 802.11bf to enable high-resolution mmWave WiFi sensing, but also providing simulation results to quantify the sensing accuracy achievable with the DMG and EDMG PHYs of IEEE 802.11bf and the overhead on the data transmission. Moreover, we study the main tradeoffs between sensing overhead and sensing accuracy and the flexibility provided by the DMG sensing procedure defined in IEEE 802.11bf to solve these trade-offs.…”

Section: Introductionmentioning

confidence: 99%

IEEE 802.11bf DMG Sensing: Enabling High-Resolution mmWave Wi-Fi Sensing

Blandino

Ropitault

Silva

et al. 2023

IEEE Open J. Veh. Technol.

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IEEE 802.11bf amendment is defining the wireless Local Area Network (WLAN) sensing procedure, which supports sensing in license-exempt frequency bands below 7 GHz, and the Directional Multi-Gigabit (DMG) sensing procedure for license-exempt frequency bands above 45 GHz. In this paper, we examine the use of Millimeter-Wave (mmWave) Wi-Fi to enable high-resolution sensing. We first provide an introduction to the principle of sensing and the modifications defined by the IEEE 802.11bf amendment to IEEE 802.11 to enable mmWave Wi-Fi sensing. We then present a new open-source framework that we develop to enable the evaluation of the DMG sensing procedure accuracy. We finally quantify the performance of the DMG sensing in terms of the velocity/angle estimate accuracy, and its overhead on the communication link. Results show that the DMG sensing procedure defined in IEEE 802.11bf is flexible enough to accommodate a wide range of sensing applications. For the bistatic scenario considered, the velocity accuracy is in the interval 0.1 m/s to 0.4 m/s, while the angular accuracy is between 1 degree and 8 degrees depending on the sensing parameters used. Ultimately, the overhead introduced by sensing is limited with a sensing overhead below 5.5 % of the system symbol rate.

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Wi-Fi Sensing Based on IEEE 802.11bf

Cited by 25 publications

References 9 publications

Ship Bridge OOW Activity Status Detection Using Wi-Fi Beamforming Feedback Information

Ship Bridge OOW Activity Status Detection Using Wi-Fi Beamforming Feedback Information

RISs and Sidelink Communications in Smart Cities: The Key to Seamless Localization and Sensing

IEEE 802.11bf DMG Sensing: Enabling High-Resolution mmWave Wi-Fi Sensing

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