This program focuses on the extreme communication issues of the Internet of Things (IoT). In particular spectrum and energy efficiency, ultra low-power systems as well as dependability in dense wireless environments. IoT wireless communication involves a range of devices for sensing, actuation and control, and is difficult due to density, interference and energy constraints.
Effective IoT communication is crucial to a range of application domains, including smart cities, environmental monitoring, smart energy, e-health and Cyber-Physical Systems, to mention a few. Our goal is to develop the next-generation communication systems, contributing to the improvement and integration of ongoing efforts, 5G cellular networks, beyond-5G and relevant IEEE standards. In ultra-low power systems we specialize on pico-burst systems, low power at high frequencies, automatic configuration, location awareness and physical mapping, unified RF communication and power, and low-power interferer management. To address the requirement of very low power dissipation, we have a research line of low frequencies, looking at reducing the antenna size. In view of dependability, we devise smart wireless resource allocation mechanisms. The aim is to dynamically and autonomously control at runtime various resources like the power budget, timeslots, frequencies and neighborhood sizes to reach application-driven optima for end to end communication in dense IoT environments. Machine learning and other AI strategies are employed to make communication protocols cognitive.