Conference paper Open Access

Pervasive Artificial Intelligence in Next Generation Wireless: The Hexa-X Project Perspective

Filippou, Miltiadis; Lamprousi, Vasiliki; Mohammadi, Jafar; Merluzzi, Mattia; Ustundag Soykan, Elif; Borsos, Tamas; Rajatheva, Nandana; Rajapaksha, Nuwanthika; Le Magoarou, Luc; Piscione, Pietro; Benczur, Andras; Lampin, Quentin; Larue, Guillaume; Korpi, Dani; Ducange, Pietro; Renda, Alessandro; Farhadi, Hamed; Haraldson, Johan; Gomes Baltar, Leonardo; Calvanese Strinati, Emilio; Demestichas, Panagiotis; Tomur, Emrah

The European 6G flagship project Hexa-X has the objective to conduct exploratory research on the next generation of mobile networks with the intention to connect human, physical and digital worlds with a fabric of technology enablers. Within this scope, one of the main research challenges is the ambition for beyond 5G (B5G)/6G systems to support, enhance and enable real-time  trustworthy control by transforming Artificial Intelligence (AI) / Machine Learning (ML) technologies into a vital and trusted tool for large-scale deployment of  interconnected intelligence available to the wider society. Hence, the study and development of concepts and solutions enabling AI-driven communication and  computation co-design for a B5G /6G communication system is required. This  paper focuses on describing the possibilities that emerge with the application of  AI & ML mechanisms (with emphasis on ML) to 6G networks, identifying the  resulting challenges and proposing some potential solution approaches.
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