Enabling IoT Self-Localization Using Ambient 5G Signals

Suraj Jog, Junfeng Guan, Sohrab Madani, Ruochen Lu, Songbin Gong, Deepak Vasisht, Haitham Al-Hassanieh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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 16×. 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.

Original languageEnglish (US)
Title of host publicationProceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2022
PublisherUSENIX Association
Pages1011-1026
Number of pages16
ISBN (Electronic)9781939133274
StatePublished - 2022
Event19th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2022 - Renton, United States
Duration: Apr 4 2022Apr 6 2022

Publication series

NameProceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2022

Conference

Conference19th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2022
Country/TerritoryUnited States
CityRenton
Period4/4/224/6/22

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Control and Systems Engineering

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