Physics-based wireless AI providing scalability and efficiency
Bidragets beskrivning
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.
Visa merStartår
2024
Slutår
2026
Beviljade finansiering
Finansiär
Finlands Akademi
Typ av finansiering
Kansainvälinen yhteisrahoitteinen ohjelma
Utlysning
Beslutfattare
Forskningsrådet för naturvetenskap och teknik
11.10.2023
11.10.2023
Övriga uppgifter
Finansieringsbeslutets nummer
359817
Vetenskapsområden
El-, automations- och telekommunikationsteknik, elektronik
Forskningsområden
Signaalinkäsittely
Identifierade teman
computer science, information science, algorithms