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Enabling IoT Self-Localization Using Ambient 5G Signals

Offered By: USENIX via YouTube

Tags

USENIX Symposium on Networked Systems Design and Implementation (NSDI) Courses Signal Processing Courses 5G Courses Wireless Communications Courses

Course Description

Overview

Explore a conference talk that introduces ISLA, an innovative system enabling low-power IoT devices to self-localize using ambient 5G signals without base station coordination. Learn how ISLA leverages the large bandwidth of 5G to compute high-resolution time of flight, and discover its novel use of MEMS acoustic resonators to design an RF filter that stretches the effective localization bandwidth to 100 MHz while using 6.25 MHz receivers. Gain insights into the system's implementation and evaluation across three large outdoor testbeds, demonstrating high localization accuracy comparable to full 100 MHz bandwidth solutions. Understand the potential impact of this technology on IoT device positioning and its implications for future 5G applications.

Syllabus

NSDI '22 - Enabling IoT Self-Localization Using Ambient 5G Signals


Taught by

USENIX

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