Physics-based wireless AI providing scalability and efficiency
Description of the granted funding
In PASSIONATE we will develop the understanding and vision about 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 the creation of 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.
Show moreStarting year
2024
End year
2026
Granted funding
Funder
Research Council of Finland
Funding instrument
Kansainvälinen yhteisrahoitteinen ohjelma
Decision maker
Scientific Council for Natural Sciences and Engineering
11.10.2023
11.10.2023
Other information
Funding decision number
359817
Fields of science
Electronic, automation and communications engineering, electronics
Research fields
Signaalinkäsittely
Identified topics
computer science, information science, algorithms