Integrated Sensing and Communication: Enabling Techniques, Applications, Tools and Data Sets, Standardization, and Future Directions

Wang, Jian; Varshney, Neeraj; Gentile, Camillo; Blandino, Steve; Chuang, J.C.-I.; Golmie, Nada

doi:10.1109/jiot.2022.3190845

Cited by 42 publications

(27 citation statements)

References 116 publications

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“…Recently, ISAC is a hotspot in the community of wireless sensing and communication which aims at optimizing communication and sensing capabilities simultaneously of radio frequency signals [180][181][182] . To achieve this goal, there are some enabling techniques including the design of transmit waveform, the modeling of propagation environment, signal processing methods, etc.…”

Section: Integrated Sensing and Communication (Isac)mentioning

confidence: 99%

Ubiquitous WiFi and Acoustic Sensing: Principles, Technologies, and Applications

Huang

Wang

Zou

et al. 2023

J. Comput. Sci. Technol.

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With the increasing pervasiveness of mobile devices such as smartphones, smart TVs, and wearables, smart sensing, transforming the physical world into digital information based on various sensing medias, has drawn researchers' great attention. Among different sensing medias, WiFi and acoustic signals stand out due to their ubiquity and zero hardware cost. Based on different basic principles, researchers have proposed different technologies for sensing applications with WiFi and acoustic signals covering human activity recognition, motion tracking, indoor localization, health monitoring, and the like. To enable readers to get a comprehensive understanding of ubiquitous wireless sensing, we conduct a survey of existing work to introduce their underlying principles, proposed technologies, and practical applications. Besides we also discuss some open issues of this research area. Our survey reals that as a promising research direction, WiFi and acoustic sensing technologies can bring about fancy applications, but still have limitations in hardware restriction, robustness, and applicability.

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Section: Integrated Sensing and Communication (Isac)mentioning

confidence: 99%

Ubiquitous WiFi and Acoustic Sensing: Principles, Technologies, and Applications

Huang

Wang

Zou

et al. 2023

J. Comput. Sci. Technol.

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“…Future wireless networks are envisioned to augment communication operations with sensing capabilities [1,2]. Integrating sensing and communication is attractive thanks to its potential benefits, such as more efficient spectrum and hardware utilization, optimized resource allocation and the support of a number of sensing services, including human activity and gesture recognition in smart homes.…”

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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“…These sensors are wirelessly connected to provide comprehensive environmental feature for the transportation purpose [1]. Therefore, the integration of multi-modal sensing and communications is henceforth pivotal and natural in the vehicular communication network [2]. However, it cannot be adequately supported by the extensively studied integrated sensing and communications (ISAC), which limits to the integration of radio-frequency…”

Section: Introductionmentioning

confidence: 99%

“…Due to the inability to distinguish dynamic and static scatterers, the vehicular channel characteristics under different vehicular traffic density (VTD) conditions cannot be explored. However, to support 6G applications for vehicular intelligent sensing-communication integration in ITSs, such as target localization and tracking for autonomous vehicles, it is necessary to conduct precise environment modeling and explore vehicular channel characteristics under different VTD conditions [2]. Therefore, the existing vehicular channel measurement campaigns that solely process RF channel information cannot adequately reveal channel characteristics.…”

Section: Introductionmentioning

confidence: 99%

Transforming Fading Channel From Fast to Slow: Intelligent Refracting Surface Aided High-Mobility Communication

Huang

Zheng

Zhang

2022

IEEE Trans. Wireless Commun.

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In this paper, a novel channel modeling approach, named light detection and ranging (LiDAR)-aided geometrybased stochastic modeling (LA-GBSM), is developed. Based on the developed LA-GBSM approach, a new millimeter wave (mmWave) channel model for sixth-generation (6G) vehicular intelligent sensing-communication integration is proposed, which can support the design of intelligent transportation systems (ITSs). The proposed LA-GBSM is accurately parameterized under high, medium, and low vehicular traffic density (VTD) conditions via a sensing-communication simulation dataset with LiDAR point clouds and scatterer information for the first time. Specifically, by detecting dynamic vehicles and static building/tress through LiDAR point clouds via machine learning, scatterers are divided into static and dynamic scatterers. Furthermore, statistical distributions of parameters, e.g., distance, angle, number, and power, related to static and dynamic scatterers are quantified under high, medium, and low VTD conditions. To mimic channel non-stationarity and consistency, based on the quantified statistical distributions, a new visibility region (VR)-based algorithm in consideration of newly generated static/dynamic scatterers is developed. Key channel statistics are derived and simulated. By comparing simulation results and raytracing (RT)-based results, the utility of the proposed LA-GBSM is verified.

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Integrated Sensing and Communication: Enabling Techniques, Applications, Tools and Data Sets, Standardization, and Future Directions

Cited by 42 publications

References 116 publications

Ubiquitous WiFi and Acoustic Sensing: Principles, Technologies, and Applications

Ubiquitous WiFi and Acoustic Sensing: Principles, Technologies, and Applications

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

Transforming Fading Channel From Fast to Slow: Intelligent Refracting Surface Aided High-Mobility Communication

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