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Award ID contains: 1824320

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  1. ; ; ; ; ; ; (, 19th USENIX Symposium on Networked Systems Design and Implementation (NSDI 22))
    This paper presents ISLA, a system that enables low power IoT nodes to self-localize using ambient 5G signals without any coordination with the base stations. ISLA operates by simply overhearing transmitted 5G packets and leverages the large bandwidth used in 5G to compute high-resolution time of flight of the signals. Capturing large 5G bandwidth consumes a lot of power. To address this, ISLA leverages recent advances in MEMS acoustic resonators to design a RF filter that can stretch the effective localization bandwidth to 100 MHz while using 6.25 MHz receivers, improving ranging resolution by 16x. We implement and evaluate ISLA in three large outdoors testbeds and show high localization accuracy that is comparable with having the full 100 MHz bandwidth. 
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    Accepted Manuscript Full Text Available
  2. ; (, ESSCIRC 2021 - IEEE 47th European Solid State Circuits Conference (ESSCIRC))
    Full Text Available 
  3. ; ; (, 2021 IEEE International Ultrasonics Symposium (IUS))
    Full Text Available 
  4. ; (, 2021 Joint Conference of the European Frequency and Time Forum and IEEE International Frequency Control Symposium (EFTF/IFCS))
    Full Text Available 
  5. ; ; ; (, IEEE Transactions on Microwave Theory and Techniques)
  6. ; ; (, 2021 IEEE Radio Frequency Integrated Circuits Symposium (RFIC))
    Full Text Available 
  7. ; (, IEEE Journal of Solid-State Circuits)
  8. ; ; (, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control)
  9. ; ; ; ; ; ; (, 18th USENIX Symposium on Networked Systems Design and Implementation (NSDI 21))
    Accepted Manuscript Full Text Available
  10. ; ; (, 2020 IEEE International Ultrasonics Symposium (IUS))
    Full Text Available