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WiFi Sensing with Channel State Information: A Survey

Published: 18 June 2019 Publication History
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  • Abstract

    With the high demand for wireless data traffic, WiFi networks have experienced very rapid growth, because they provide high throughput and are easy to deploy. Recently, Channel State Information (CSI) measured by WiFi networks is widely used for different sensing purposes. To get a better understanding of existing WiFi sensing technologies and future WiFi sensing trends, this survey gives a comprehensive review of the signal processing techniques, algorithms, applications, and performance results of WiFi sensing with CSI. Different WiFi sensing algorithms and signal processing techniques have their own advantages and limitations and are suitable for different WiFi sensing applications. The survey groups CSI-based WiFi sensing applications into three categories, detection, recognition, and estimation, depending on whether the outputs are binary/multi-class classifications or numerical values. With the development and deployment of new WiFi technologies, there will be more WiFi sensing opportunities wherein the targets may go beyond from humans to environments, animals, and objects. The survey highlights three challenges for WiFi sensing: robustness and generalization, privacy and security, and coexistence of WiFi sensing and networking. Finally, the survey presents three future WiFi sensing trends, i.e., integrating cross-layer network information, multi-device cooperation, and fusion of different sensors, for enhancing existing WiFi sensing capabilities and enabling new WiFi sensing opportunities.

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    cover image ACM Computing Surveys
    ACM Computing Surveys  Volume 52, Issue 3
    May 2020
    734 pages
    ISSN:0360-0300
    EISSN:1557-7341
    DOI:10.1145/3341324
    • Editor:
    • Sartaj Sahni
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    Publication History

    Published: 18 June 2019
    Accepted: 01 January 2019
    Revised: 01 January 2019
    Received: 01 June 2018
    Published in CSUR Volume 52, Issue 3

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    Author Tags

    1. WiFi imaging
    2. WiFi sensing
    3. activity recognition
    4. channel state information
    5. gesture recognition
    6. human counting
    7. human identification
    8. localization
    9. respiration monitoring

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