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Networks for motion and motion for networks
Sie, Emerson
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https://hdl.handle.net/2142/129822
Description
- Title
- Networks for motion and motion for networks
- Author(s)
- Sie, Emerson
- Issue Date
- 2025-06-24
- Director of Research (if dissertation) or Advisor (if thesis)
- Vasisht, Deepak
- Doctoral Committee Chair(s)
- Vasisht, Deepak
- Committee Member(s)
- Choudhury, Romit R
- Caesar, Matthew
- Driggs-Campbell, Katherine
- Department of Study
- Electrical & Computer Eng
- Discipline
- Electrical & Computer Engr
- Degree Granting Institution
- University of Illinois Urbana-Champaign
- Degree Name
- Ph.D.
- Degree Level
- Dissertation
- Keyword(s)
- Wireless Networks
- Wireless Sensing
- Radar
- GPS
- Abstract
- Wireless systems enable key sensing and connectivity capabilities for mobile platforms. However, existing wireless systems face challenges, preventing important applications from being realized. First, current sensing techniques are too coarse-grained or computationally intensive, limiting practicality for small, agile platforms such as drones and robots. Second, current connectivity systems remain vulnerable to environments where signals are blocked, preventing connectivity in agriculture and geo-location indoors. In this thesis, we address these challenges by exploring the interplay between networks and motion. Specifically, we contribute techniques for improving mobile platforms using networks and improving networks using mobile platforms. First, we contribute a new wireless sensing primitive for agile motion sensing via surface-parallel Doppler shift. We use this to perform accurate odometry and simultaneous localization and mapping on embedded mmWave radars. Next, we expand the scope of rural connectivity for digital agriculture. We contribute an agile and low-cost broadband connectivity model for under-canopy robots operating on remote farms. Our system exploits horizontal and vertical motion of a cellular base station to optimize coverage and throughput to clients. Finally, we tackle geo-location in GPS-denied indoor environments. Although many indoor localization systems have been proposed through the years, they remain too impractical for widespread real-world deployment. To address this, we describe a localization system that works with any unmodified Wi-Fi device. We show how pedestrian crowdsourcing can bootstrap this system in any environment containing enough Wi-Fi APs without dedicated human effort. We believe this is a promising step towards realizing ubiquitous GPS-level localization in urban environments across the world.
- Graduation Semester
- 2025-08
- Type of Resource
- Thesis
- Handle URL
- https://hdl.handle.net/2142/129822
- Copyright and License Information
- Copyright 2025 Emerson Sie
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Graduate Dissertations and Theses at Illinois PRIMARY
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