Physics-based wireless AI providing scalability and efficiency (PASSIONATE)

PASSIONATE will pave the way to a complete change of paradigm in the way AI/ML is applied to wireless communications, developing physics-based native AI tools.

The project at a glance

Start date:

01 Jan 2025
Duration in months:

55
Funding:

FNR
Principal Investigator(s):

Symeon CHATZINOTAS

About

In PASSIONATE, we will develop the understanding and vision of what the application of AI/ML to the wireless network can provide and design use cases that can take advantage of this technology. For these use cases and with the new physics-based AI/ML tools, we will design new PHY, MAC, and RRM techniques and algorithms that achieve the ambitious goals of future mobile networks regarding coverage, data rate, latency, and energy consumption. We will evaluate experimentally by realistic simulations and measurements the achieved gains and contribute to creating data sets that can be used for the community. By advancing the state of the art and stimulating research and technology-based innovation through dissemination, PASSIONATE will create awareness and facilitate the positive impact of advanced wireless communications on society and the economy.