NSF-RCF: Distributed Multi-Modal Sensing Aided Large-Scale MIMO Communications (DYNAMICS)

Description of the granted funding

Efficient communication networks are vital for advancing the next generation of wireless applications, a priority for countries like the US and Finland. Future networks must deliver higher data rates and support mobile, low-latency applications such as virtual reality and autonomous vehicles. This collaborative project aims to leverage machine learning to design innovative wireless communication networks that fulfill these requirements, ensuring high data rates across extensive areas and enhancing user experience. By integrating sensory data, including GPS and camera images, the project seeks to boost wireless network performance. The initiative is expected to enhance technology transfer to industry in both the US and Finland, with all developed machine learning datasets and algorithms made publicly available. This collaboration between Arizona State University, USA and the University of Oulu, Finland promises significant benefits for both societies and the global community.
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Starting year

2025

End year

2027

Granted funding

Nhan Nguyen Orcid -palvelun logo
279 978 €

Funder

Research Council of Finland

Funding instrument

International joint call

Decision maker

Suomen akatemian muu päättäjä
04.11.2024

Other information

Funding decision number

367702

Fields of science

Electronic, automation and communications engineering, electronics

Research fields

Tietoliikennetekniikka

Identified topics

5G, 6G, wireless networks, wireless communication