Large Language Models in the 6G-Enabled Computing Continuum: a White Paper

Markus Abel, Ijaz Ahmad, Constantino Álvarez Casado, Rico Berner, Mickaël Bettinelli, Kaj-Mikael Björk, Michele Capobianco, James Gross, Hong-Tri Nguyen, Pan Hui, Panos Kostakos, Abhishek Kumar, Mika-Petri Laakkonen, Xiaoli Liu, Zhi Liu, Le Nguyen, Huong Nguyen, Basak Ozan Ozparlak, Ville Pietiläinen, Susanna PirttikangasStéphan Plassart, Sampo Pyysalo, Soheyb Ribouh, Jari Rinne, Mehdi Safanpour, Alaa Saleh, Saeid Sheikhi, Olli Silven, Harry Souris, Xiang Su, Roope Suomalainen, Athanasios V. Vasilakos, Aleksandr Zavodovski, Qi Zhang, Peng Yuan Zhou, Alireza Zourmand

Tutkimustuotos: KirjaCommissioned report

Abstrakti

The evolution towards 6G architecture will shift communication networks, with artificial intelligence (AI) playing a key role. This white paper examines the integration of Large Language Models (LLMs) within 6G systems. Their ability to grasp intent, reason, and plan, and execute commands will redefine network functionalities and interactions. An essential component is the AI Interconnect framework, designed to facilitate AI operations within the network. Building on the evolving state-of-the-art, we present a new architectural perspective for the next generation of mobile networks. Here, LLMs will work together with pre-generative AI and machine learning (ML) algorithms. This union combines old and new methods, merging established approaches with AI technologies. We provide an overview of this evolution and explore the applications arising from such an integration. We envisage an integration where AI becomes central to future communication networks, offering insight into the structure and function of a 6G network centered on AI.
AlkuperäiskieliEnglanti
KustantajaUniversity of Oulu
Sivumäärä74
ISBN (elektroninen)978-952-62-4376-4
ISBN (painettu)978-952-62-4375-7
TilaJulkaistu - 2024
OKM-julkaisutyyppiD4 Julkaistu kehittämis- tai tutkimusraportti taikka -selvitys

Julkaisusarja

Nimi6G Research Visions
KustantajaUniversity of Oulu
Vuosikerta14
ISSN (painettu)2669-9621
ISSN (elektroninen)2669-963X

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