Biography:
Thiemo Voigt is a full professor at the Department of Electrical Engineering at Uppsala University, Sweden, where he leads the division of Networked Embedded Systems. He is also a senior researcher at RISE Computer Science. His current research interests include low-power networking, system software and machine learning for embedded networked devices and the Internet of Things as well as in-body communication and 6G Ambient IoT. His work has been cited more than 22000 times. He has received three best paper awards in the last two years and given eight international keynotes during the same period. He is a member of the editorial board for the ACM Transactions on Sensor Networks (TOSN).
Towards 6G Ambient IoT with Backscatter and Intermittent Computing
6G Ambient IoT is expected to enable a wide range of new IoT applications across various industries, driven by the ability to deploy and manage billions of interconnected devices.
6G Ambient IoT devices rely on energy harvesting rather than batteries which makes ultra-low power consumption a key issue. To address this challenge, 6G Ambient IoT devices use backscatter communication which reduces the energy consumption by several orders of magnitudes compared to conventional active radios. As the telecommunications industry drives the development of 6G, the primary focus remains on efficient communication. In this talk, I first present some key technologies of 6G Ambient IoT. I will discuss harmonic backscatter, an approach that avoids self-interference between the carrier and data radio frequency waves. I will then present TaDA, a task decoupling architecture for energy harvesting devices and discuss its potential role in 6G Ambient IoT.