Enabling IoT Self-Localization Using Ambient 5G Signals
Offered By: USENIX via YouTube
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
Related Courses
Introduction aux réseaux mobilesInstitut Mines-Télécom via France Université Numerique Evolution Of Air Interface Towards 5G
Indian Institute of Technology, Kharagpur via Swayam LDPC and Polar Codes in 5G Standard
Indian Institute of Technology Madras via Swayam Business Considerations for 5G with Edge, IoT, and AI
Linux Foundation via edX Open Source and the 5G Transition
Linux Foundation via edX