Literature Database Entry

elhwawshy2023development

Muhammad Elhwawshy, "Development of a low-cost joint communication and sensing platform," Bachelor Thesis, School of Electrical Engineering and Computer Science (EECS), TU Berlin (TUB), December 2023. (Advisor: Anatolij Zubow; Referees: Anatolij Zubow and Thomas Sikora)

Abstract

Wi-Fi signals could be used beyond their intended purpose of communication to develop sensing applications. This relies on making use of the Channel State Information (CSI) provided by low-cost, commercial off-the-shelf 802.11 hardware. Realizing the potential of Wi-Fi signals for sensing demands a scalable platform capable of collecting and handling CSI data. In this thesis, we developed a low-cost, easy-to-deploy platform that measures and stores CSI data of both the uplink and downlink directions and scales seamlessly through the deployment of new nodes in a plug-and-play fashion. Our benchmarks of the developed platform include a rate of 20 CSI packets per second and less than 20 MB required disk storage per hour per node, which shows the feasibility and practicality of our approach and paves the way for implementing various Wi-Fi sensing applications.

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Muhammad Elhwawshy

BibTeX reference

@phdthesis{elhwawshy2023development,
    author = {Elhwawshy, Muhammad},
    title = {{Development of a low-cost joint communication and sensing platform}},
    advisor = {Zubow, Anatolij},
    institution = {School of Electrical Engineering and Computer Science (EECS)},
    location = {Berlin, Germany},
    month = {12},
    referee = {Zubow, Anatolij and Sikora, Thomas},
    school = {TU Berlin (TUB)},
    type = {Bachelor Thesis},
    year = {2023},
   }
   
   

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Last modified: 2024-05-04